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machine_unlearning

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Existing Literature about Machine Unlearning

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# Machine Unlearning Papers and Benchmarks

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## Frameworks

[OpenUnlearning](https://github.com/locuslab/open-unlearning)

[Machine Unlearning Comparator](https://github.com/gnueaj/Machine-Unlearning-Comparator)

## Papers

[2025](#2025) &nbsp;
[2024](#2024) &nbsp;
[2023](#2023) &nbsp;
[2022](#2022) &nbsp;
[2021](#2021) &nbsp;
[2020](#2020) &nbsp;
[2019](#2019) &nbsp;
[2018](#2018) &nbsp;
[2017](#2017) &nbsp;
[< 2017](#before-2017) &nbsp;

### 2025

| Author(s)           | Title                                                                                                                                                                                                                                                                                                            | Venue                                                |
| :------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------- |
| Jiang et al.        | [Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/34605)                                                                                                                                                              | AAAI                                                 |
| Han et al. | [DuMo: Dual Encoder Modulation Network for Precise Concept Erasure](https://ojs.aaai.org/index.php/AAAI/article/view/32343)|AAAI|
| Wu et al.           | [Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient](https://ojs.aaai.org/index.php/AAAI/article/view/32917)                                                                                                                                                   | AAAI                                                 |
| Wang et al.         | [Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/32068)                                                                                                                                                        | AAAI                                                 |
| Yuan et al.         | [Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models](https://arxiv.org/abs/2408.10682)                                                                                                                                     | AAAI                                                 |
| Jin et al.          | [Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate](https://aclanthology.org/2025.naacl-long.563/)                                                                                                                                                 | ACL                                                  |
| Yang et al.         | [CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP](https://aclanthology.org/2025.acl-long.1469/)                                                                                                                                                                                           | ACL                                                  |
| Choi et al.         | [Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport](https://arxiv.org/abs/2406.12329)                                                                                                                                                                               | ACL                                                  |
| Bhaila et al.       | [Soft Prompting for Unlearning in Large Language Models](https://aclanthology.org/2025.naacl-long.204/)                                                                                                                                                                                                          | ACL                                                  |
| Sun et al.          | [Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race](https://aclanthology.org/2025.acl-long.1078/)                                                                                                                                                                               | ACL                                                  |
| Xu et al.           | [ReLearn: Unlearning via Learning for Large Language Models](https://aclanthology.org/2025.acl-long.297/)                                                                                                                                                                                                        | ACL                                                  |
| Huo et al.          | [MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models](https://arxiv.org/abs/2502.11051)                                                                                                                                                                      | ACL                                                  |
| Liu et al.          | [Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models](https://aclanthology.org/2025.acl-long.295/)                                                                                                                                                                                  | ACL                                                  |
| Tran et al.         | [Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training](https://aclanthology.org/2025.findings-acl.1174/)                                                                                                                       | ACL                                                  |
| Zhuang et al.       | [SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?](https://aclanthology.org/2025.acl-long.424/)                                                                                                                                                                                                | ACL                                                  |
| Liu et al.          | [Rethinking Machine Unlearning in Image Generation Models](https://arxiv.org/abs/2506.02761)                                                                                                                                                                                                                     | ACM CCS                                              |
| Chowdhury et al.    | [Fundamental Limits of Perfect Concept Erasure](https://proceedings.mlr.press/v258/chowdhury25a.html)                                                                                                                                                                                                            | AISTATS                                              |
| Xue et al.          | [CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models](https://arxiv.org/abs/2503.14232)                                                                                                                                                                                                | BMVC                                                 |
| Mekala et al.       | [Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models](https://aclanthology.org/2025.coling-main.252/)                                                                                                                                                                    | COLING                                               |
| Ma et al.           | [Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis](https://aclanthology.org/2025.coling-main.358/)                                                                                                                                                                          | COLING                                               |
| Sanyal et al.       | [Agents Are All You Need for LLM Unlearning](https://arxiv.org/abs/2502.00406)                                                                                                                                                                                                                                   | COLM                                                 |
| Zhou et al.         | [Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks](https://openaccess.thecvf.com/content/CVPR2025/html/Zhou_Decoupled_Distillation_to_Erase_A_General_Unlearning_Method_for_Any_CVPR_2025_paper.html)                                                                    | CVPR                                                 |
| Li et al.           | [Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization](https://openaccess.thecvf.com/content/CVPR2025/html/Li_Detect-and-Guide_Self-regulation_of_Diffusion_Models_for_Safe_Text-to-Image_Generation_via_CVPR_2025_paper.html)               | CVPR                                                 |
|Wang et al| [Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters](https://openaccess.thecvf.com/content/CVPR2025/html/Wang_Precise_Fast_and_Low-cost_Concept_Erasure_in_Value_Space__CVPR_2025_paper.html)|CVPR|
| Wang et al.         | [ACE: Anti-Editing Concept Erasure in Text-to-Image Models](https://openaccess.thecvf.com/content/CVPR2025/html/Wang_ACE_Anti-Editing_Concept_Erasure_in_Text-to-Image_Models_CVPR_2025_paper.html)                                                                                                              | CVPR                                                 |
| Wu et al.           | [EraseDiff: Erasing Data Influence In Diffusion Models](https://openaccess.thecvf.com/content/CVPR2025/html/Wu_Erasing_Undesirable_Influence_in_Diffusion_Models_CVPR_2025_paper.html)                                                                                                                           | CVPR                                                 |
| Lee et al.          | [ESC: Erasing Space Concept for Knowledge Deletion](https://openaccess.thecvf.com/content/CVPR2025/html/Lee_ESC_Erasing_Space_Concept_for_Knowledge_Deletion_CVPR_2025_paper.html)                                                                                                                               | CVPR                                                 |
| Thakral et al.      | [Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models](https://arxiv.org/abs/2503.19783)                                                                                                                                                                                                      | CVPR                                                 |
| Srivatsan et al. | [STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models](https://openaccess.thecvf.com/content/CVPR2025/html/Srivatsan_STEREO_A_Two-Stage_Framework_for_Adversarially_Robust_Concept_Erasing_from_CVPR_2025_paper.html)|CVPR|
| Lee et al.          | [Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation](https://openaccess.thecvf.com/content/CVPR2025/html/Lee_Localized_Concept_Erasure_for_Text-to-Image_Diffusion_Models_Using_Training-Free_Gated_CVPR_2025_paper.html)                                | CVPR                                                 |
|Shirkavand et al. | [Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models](https://openaccess.thecvf.com/content/CVPR2025/html/Shirkavand_Efficient_Fine-Tuning_and_Concept_Suppression_for_Pruned_Diffusion_Models_CVPR_2025_paper.html)|CVPR|
| Pan et al.          | [Multi-Objective Large Language Model Unlearning](https://ieeexplore.ieee.org/abstract/document/10889776)                                                                                                                                                                                                        | ICASSP                                               |
| Wang et al.         | [Large Scale Knowledge Washing](https://openreview.net/forum?id=dXCpPgjTtd)                                                                                                                                                                                                                                      | ICLR                                                 |
|Koulischer et al. |[Dynamic Negative Guidance of Diffusion Models](https://openreview.net/forum?id=6p74UyAdLa)|ICLR|
| Feng et al.         | [Controllable Unlearning for Image-to-Image Generative Models via epsilon-Constrained Optimization](https://openreview.net/forum?id=9OJflnNu6C)                                                                                                                                                                  | ICLR                                                 |
| Ding et al.         | [Unified Parameter-Efficient Unlearning for LLMs](https://openreview.net/forum?id=zONMuIVCAT)                                                                                                                                                                                                                    | ICLR                                                 |
| Jin et al.          | [Unlearning as Multi-Task Optimization: a normalized gradient difference approach with adaptive learning rate](https://openreview.net/forum?id=OknsPawlUf)                                                                                                                                                       | ICLR                                                 |
| Farrell et al.      | [Applying Sparse Autoencoders to Unlearn Knowledge in Language Models](https://openreview.net/forum?id=ZtvRqm6oBu)                                                                                                                                                                                               | ICLR                                                 |
|Cywinski et al. | [SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders](https://openreview.net/forum?id=6N0GxaKdX9)|ICLR|
| Yoon et al. | [SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation](https://openreview.net/forum?id=hgTFotBRKl)|ICLR|
| Choi et al.         | [Unlearning-based Neural Interpretations](https://openreview.net/forum?id=PBjCTeDL6o)                                                                                                                                                                                                                            | ICLR                                                 |
| Di et al.           | [Adversarial Machine Unlearning](https://openreview.net/pdf?id=swWF948IiC)                                                                                                                                                                                                                                       | ICLR                                                 |
| Sakarvadia et al.   | [Mitigating Memorization in Language Models](https://openreview.net/forum?id=MGKDBuyv4p)                                                                                                                                                                                                                         | ICLR                                                 |
| Li et al.           | [When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers](https://openreview.net/forum?id=vRvVVb0NAz)                                                                                                                                                      | ICLR                                                 |
| Scholten et al.     | [A Probabilistic Perspective on Unlearning and Alignment for Large Language Models](https://openreview.net/forum?id=51WraMid8K)                                                                                                                                                                                  | ICLR                                                 |
| Zhang et al.        | [Catastrophic Failure of LLM Unlearning via Quantization](https://openreview.net/forum?id=lHSeDYamnz)                                                                                                                                                                                                            | ICLR                                                 |
| Cha et al.          | [Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs](https://arxiv.org/abs/2408.06621)                                                                                                                                                                                                         | ICLR                                                 |
| Shi et al.          | [MUSE: Machine Unlearning Six-Way Evaluation for Language Models](https://openreview.net/forum?id=TArmA033BU)                                                                                                                                                                                                    | ICLR                                                 |
| Bui et al.          | [Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them](https://openreview.net/forum?id=tZdqL5FH7w)                                                                                                                                                                                   | ICLR                                                 |
| Yuan et al.         | [A Closer Look at Machine Unlearning for Large Language Models](https://openreview.net/forum?id=Q1MHvGmhyT)                                                                                                                                                                                                      | ICLR                                                 |
| Du et al.           | [Textual Unlearning Gives a False Sense of Unlearning](https://openreview.net/forum?id=jyxwWQjU4J)                                                                                                                                                                                                               | ICML                                                 |
| Li et al.           | [One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework](https://arxiv.org/abs/2505.11131)                                                                                                                                                                      | ICML                                                 |
| Karvonen et al.     | [SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability](https://arxiv.org/abs/2503.09532)                                                                                                                                                                               | ICML                                                 |
| Zhang et al.        | [Minimalist Concept Erasure in Generative Models](https://arxiv.org/abs/2507.13386)                                                                                                                                                                                                                              | ICML                                                 |
| Fan et al.          | [Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond](https://arxiv.org/abs/2502.05374)                                                                                                                                                                | ICML                                                 |
| Pathak et al.       | [Quantum-Inspired Audio Unlearning: Towards Privacy-Preserving Voice Biometrics](https://www.arxiv.org/abs/2507.22208)                                                                                                                                                                                           | IJCB                                                 |
| Dou et al.          | [Avoiding Copyright Infringement via Large Language Model Unlearning](https://aclanthology.org/2025.findings-naacl.288/)                                                                                                                                                                                         | NAACL                                                |
| Liu et al.          | [Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench](https://aclanthology.org/2025.naacl-long.207.pdf)                                                                                                                                                                                      | NAACL                                                |
| Dong et al.         | [UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models](https://aclanthology.org/2025.naacl-long.444/)                                                                                                                                                                   | NAACL                                                |
| Ye et al.           | [Reinforcement Unlearning](https://www.ndss-symposium.org/wp-content/uploads/2025-80-paper.pdf)                                                                                                                                                                                                                  | NDSS                                                 |
| Bother et al.       | [Modyn: A Platform for Model Training on Dynamic Datasets With Sample-Level Data Selection](https://dl.acm.org/doi/abs/10.1145/3709705)                                                                                                                                                                          | PACMMOD                                              |
| Thaker et al.       | [Position: LLM Unlearning Benchmarks are Weak Measures of Progress](https://ieeexplore.ieee.org/abstract/document/10992346)                                                                                                                                                                                      | SaTML                                                |
| Xia et al.          | [Edge Unlearning is Not "on Edge"! an Adaptive Exact Unlearning System on Resource-Constrained Devices](https://ieeexplore.ieee.org/document/11023432)                                                                                                                                                           | SP                                                   |
| Wang et al.         | [Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness](https://arxiv.org/abs/2506.06112)                                                                                                                                                                           | USENIX Security                                      |
| Wang et al.         | [TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning](https://openreview.net/forum?id=LedrHK34jZ#discussion)                                                                                                                                                                                  | WWW                                                  |
|                     |
| Justicia et al.     | [Digital forgetting in large language models: a survey of unlearning methods](https://link.springer.com/article/10.1007/s10462-024-11078-6)                                                                                                                                                                      | Artificial Intelligence Review                       |
| Qu et al.           | [The Frontier of Data Erasure: A Survey on Machine Unlearning for Large Language Models](https://ieeexplore.ieee.org/abstract/document/10834145)                                                                                                                                                                 | Computer                                             |
| Liu et al.          | [Threats, Attacks, and Defenses in Machine Unlearning: A Survey](https://ieeexplore.ieee.org/abstract/document/10892039)                                                                                                                                                                                         | IEEE Open Journal of the Computer Society            |
| Sun et al.          | [Generative Adversarial Networks Unlearning](https://ieeexplore.ieee.org/abstract/document/10979463)                                                                                                                                                                                                             | IEEE Transactions on Dependable and Secure Computing |
| Zuo et al.          | [Machine unlearning through fine-grained model parameters perturbation](https://ieeexplore.ieee.org/abstract/document/10839062)                                                                                                                                                                                  | IEEE Transactions on Knowledge and Data Engineering  |
| Li et al.           | [Class-wise federated unlearning: Harnessing active forgetting with teacher–student memory generation](https://www.sciencedirect.com/science/article/abs/pii/S0950705125004009)                                                                                                                                  | Knowledge-Based Systems                              |
| Liu et al.          | [Rethinking Machine Unlearning for Large Language Models](https://www.nature.com/articles/s42256-025-00985-0)                                                                                                                                                                                                    | Nature Machine Intelligence                          |
| Cooper et al.       | [Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5060253)                                                                                                                                            | SSRN                                                 |
| Tiwary et al.       | [Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks](https://openreview.net/forum?id=jAHEBivObO)                                                                                                                                                         | TMLR                                                 |
| MIranda et al.      | [Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions](https://openreview.net/forum?id=Ss9MTTN7OL)                                                                                                                                                                             | TMLR                                                 |
| Huang et al.        | [Offset Unlearning for Large Language Models](https://openreview.net/forum?id=A4RLpHPXCu)                                                                                                                                                                                                                        | TMLR                                                 |
| Sinha et al.        | [UnSTAR: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs](https://openreview.net/forum?id=mNXCViKZbI)                                                                                                                                                                                                 | TMLR                                                 |
| Che et al.          | [Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities](https://arxiv.org/abs/2502.05209)                                                                                                                                                                                                 | TMLR                                                 |
|                     |                                                                                                                                                                                                                                                                                                                  |
| Vidal et al.        | [Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU](https://openaccess.thecvf.com/content/CVPR2025W/TMM-OpenWorld/html/Vidal_Machine_Unlearning_in_Hyperbolic_vs._Euclidean_Multimodal_Contrastive_Learning_Adapting_CVPRW_2025_paper.html) | CVPR Workshop                                        |
| Cai et al.          | [AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security](https://arxiv.org/abs/2504.20965)                                                                                                                                                                                                | ICLR Workshop                                        |
| Kim et al.  | [Training-Free Safe Denoisers For Safe Use of Diffusion Models](https://openreview.net/forum?id=R9lU8ZeJjS)|ICLR Workshop|
| Bui et al. | [Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Prompts](https://openreview.net/forum?id=KeJ6dGkiqb)|ICLR Workshop|
| Sanga et al.        | [Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning](https://arxiv.org/abs/2506.14515)                                                                                                                                                                                        | ICML Workshop                                        |
| Wu et al.           | [Evaluating Deep Unlearning in Large Language Models](https://openreview.net/forum?id=376xPmmHoV)                                                                                                                                                                                                                | ICML Workshop                                        |
| Spohn et al.        | [Align-then-Unlearn: Embedding Alignment for LLM Unlearning](https://arxiv.org/abs/2506.13181)                                                                                                                                                                                                                   | ICML Workshop                                        |
| Dosajh et al.       | [Unlearning Factual Knowledge from LLMs Using Adaptive RMU](https://arxiv.org/abs/2506.16548)                                                                                                                                                                                                                    | SemEval                                              |
| Xu et al.           | [Unlearning via Model Merging](https://arxiv.org/abs/2503.21088)                                                                                                                                                                                                                                                 | SemEval                                              |
| Bronec et al.       | [Low-Rank Negative Preference Optimization](https://arxiv.org/abs/2503.13690)                                                                                                                                                                                                                                    | SemEval                                              |
| Srivasthav P et al. | [Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models](https://arxiv.org/abs/2503.04795)                                                                                                                                                                                   | SemEval                                              |
| Premptis et al.     | [Parameter-Efficient Unlearning for Large Language Models using Data Chunking](https://arxiv.org/abs/2503.02443)                                                                                                                                                                                                 | SemEval                                              |
|                     |                                                                                                                                                                                                                                                                                                                  |
| Kim et al.          | [Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols](https://arxiv.org/pdf/2503.06991)                                                                                                                                                                                | arxiv                                                |
| Kwak et al.         | [NegMerge: Consensual Weight Negation for Strong Machine Unlearning](https://arxiv.org/pdf/2410.05583)                                                                                                                                                                                                           | arxiv                                                |
| Wang et al.         | [GRU: Mitigating the Trade-off between Unlearning and Retention for Large Language Models](https://arxiv.org/pdf/2503.09117)                                                                                                                                                                                     | arxiv                                                |
| Geng et al.         | [A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models](https://arxiv.org/abs/2503.01854)                                                                                                                                                                                            | arxiv                                                |
| Barez et al.        | [Open Problems in Machine Unlearning for AI Safety](https://arxiv.org/abs/2501.04952)                                                                                                                                                                                                                            | arxiv                                                |
| Fan et al.          | [Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning](https://openreview.net/forum?id=Pd3jVGTacT)                                                                                                                                                                                | arxiv                                                |
| Staufer et al.      | [What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests](https://arxiv.org/abs/2507.11128)                                                                                                                                                                                | arxiv                                                |
| Yeats et al.        | [Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge](https://arxiv.org/abs/2507.07137)                                                                                                                                                                            | arxiv                                                |
| Xiong et al.        | [The Landscape of Memorization in LLMs: Mechanisms, Measurement, and Mitigation](https://openreview.net/forum?id=Pd3jVGTacT)                                                                                                                                                                                     | arxiv                                                |
| Scholten et al.     | [Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs](https://arxiv.org/abs/2507.04219)                                                                                                                                                                                                     | arxiv                                                |
| Han et al.          | [Unlearning the Noisy Correspondence Makes CLIP More Robust](https://arxiv.org/abs/2507.03434)                                                                                                                                                                                                                   | arxiv                                                |
| Kawakami et al.     | [PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning](https://arxiv.org/abs/2507.01271)                                                                                                                                                                                                  | arxiv                                                |
| Ma et al.           | [SoK: Semantic Privacy in Large Language Models](https://arxiv.org/abs/2506.23603)                                                                                                                                                                                                                               | arxiv                                                |
| Rezaei et al.       | [Model State Arithmetic for Machine Unlearning](https://arxiv.org/abs/2506.20941)                                                                                                                                                                                                                                | arxiv                                                |
| Sinha et al.        | [Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models](https://arxiv.org/abs/2506.17279)                                                                                                                                                                                         | arxiv                                                |
| Zhang et al.        | [Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack](https://arxiv.org/abs/2506.17265)                                                                                                                                                                                          | arxiv                                                |
| Jiang et al.        | [Large Language Model Unlearning for Source Code](https://arxiv.org/abs/2506.17125)                                                                                                                                                                                                                              | arxiv                                                |
| Hu et al.           | [BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap](https://arxiv.org/abs/2506.15699)                                                                                                                                                                                                         | arxiv                                                |
| Wu et al.           | [Learning-Time Encoding Shapes Unlearning in LLMs](https://arxiv.org/abs/2506.15076)                                                                                                                                                                                                                             | arxiv                                                |
| Chen et al.         | [Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs](https://arxiv.org/abs/2506.14003)                                                                                                                                                                                           | arxiv                                                |
| Wang et al.         | [Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills](https://arxiv.org/abs/2506.12963)                                                                                                                                                                           | arxiv                                                |
| Songdej et al.      | [Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization](https://arxiv.org/abs/2506.12484)                                                                                                                                                                                 | arxiv                                                |
| Suriyakumar et al.  | [UCD: Unlearning in LLMs via Contrastive Decoding](https://arxiv.org/abs/2506.12097)                                                                                                                                                                                                                             | arxiv                                                |
| Ma et al.           | [GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models](https://arxiv.org/abs/2506.10946)                                                                                                                                                                                        | arxiv                                                |
| Ren et al.          | [SoK: Machine Unlearning for Large Language Models](https://arxiv.org/abs/2506.09227)                                                                                                                                                                                                                            | arxiv                                                |
| Reisizadeh et al.   | [BLUR: A Bi-Level Optimization Approach for LLM Unlearning](https://arxiv.org/abs/2506.08164)                                                                                                                                                                                                                    | arxiv                                                |
| Ye et al.           | [LLM Unlearning Should Be Form-Independent](https://arxiv.org/abs/2506.07795)                                                                                                                                                                                                                                    | arxiv                                                |
| Zhang et al.        | [RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality](https://arxiv.org/abs/2506.07171)                                                                                                                                                                                                      | arxiv                                                |
| Lee et al.          | [Distillation Robustifies Unlearning](https://arxiv.org/abs/2506.06278)                                                                                                                                                                                                                                          | arxiv                                                |
| Wang et al.         | [Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness](https://arxiv.org/abs/2506.06112)                                                                                                                                                                           | arxiv                                                |
| Wei et al.          | [Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness](https://arxiv.org/abs/2506.05735)                                                                                                                                                                             | arxiv                                                |
| Entesari et al.     | [Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models](https://arxiv.org/abs/2506.05314)                                                                                                                                                                                           | arxiv                                                |
| Wen et al.          | [Quantifying Cross-Modality Memorization in Vision-Language Models](https://arxiv.org/abs/2506.05198)                                                                                                                                                                                                            | arxiv                                                |
| Chen et al.         | [Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning](https://arxiv.org/abs/2506.03850)                                                                                                                                                                                           | arxiv                                                |
| Zhou et al.         | [Not All Tokens Are Meant to Be Forgotten](https://arxiv.org/abs/2506.03142)                                                                                                                                                                                                                                     | arxiv                                                |
| Kim et al.          | [Rethinking Post-Unlearning Behavior of Large Vision-Language Models](https://arxiv.org/abs/2506.02541)                                                                                                                                                                                                          | arxiv                                                |
| Wang et al.         | [Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning](https://arxiv.org/abs/2506.01339)                                                                                                                                                                                       | arxiv                                                |
| Wan et al.          | [Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning](https://arxiv.org/abs/2506.00876)                                                                                                                                                         | arxiv                                                |
| Feng et al.         | [Existing Large Language Model Unlearning Evaluations Are Inconclusive](https://arxiv.org/abs/2506.00688)                                                                                                                                                                                                        | arxiv                                                |
| Wang et al.         | [Model Unlearning via Sparse Autoencoder Subspace Guided Projections](https://arxiv.org/abs/2505.24428)                                                                                                                                                                                                          | arxiv                                                |
| Wu et al.           | [Breaking the Gold Standard: Extracting Forgotten Data under Exact Unlearning in Large Language Models](https://arxiv.org/abs/2505.24379)                                                                                                                                                                        | arxiv                                                |
| Chen et al.         | [Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs](https://arxiv.org/abs/2505.23270)                                                                                                                                                                            | arxiv                                                |
| Siddiqui et al.     | [From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization](https://arxiv.org/abs/2505.22310)                                                                                                                                                                                     | arxiv                                                |
| Li et al.           | [Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?](https://arxiv.org/abs/2505.19855)                                                                                                                                                                   | arxiv                                                |
| Jiang et al.        | [Graceful Forgetting in Generative Language Models](https://arxiv.org/abs/2505.19715)                                                                                                                                                                                                                            | arxiv                                                |
| Shi et al.          | [Safety Alignment via Constrained Knowledge Unlearning](https://arxiv.org/abs/2505.18588)                                                                                                                                                                                                                        | arxiv                                                |
| Ye et al.           | [T2VUnlearning: A Concept Erasing Method for Text-to-Video Diffusion Models](https://arxiv.org/abs/2505.17550)                                                                                                                                                                                                   | arxiv                                                |
| To et al.           | [Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial Prompting](https://arxiv.org/abs/2505.17160)                                                                                                                                        | arxiv                                                |
| Xu et al.           | [Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs](https://arxiv.org/abs/2505.16831)                                                                                                                                                                                         | arxiv                                                |
| Lee et al.          | [Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models](https://arxiv.org/abs/2505.16252)                                                                                                                                       | arxiv                                                |
| Ma et al.           | [Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value](https://arxiv.org/abs/2505.16147)                                                                                                                                                                                       | arxiv                                                |
| Yu et al.           | [UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models](https://arxiv.org/abs/2505.15674)                                                                                                                                                                                              | arxiv                                                |
| Yoon et al.         | [R-TOFU: Unlearning in Large Reasoning Models](https://arxiv.org/abs/2505.15214)                                                                                                                                                                                                                                 | arxiv                                                |
| Jeung et al.        | [DUSK: Do Not Unlearn Shared Knowledge](https://arxiv.org/abs/2505.15209)                                                                                                                                                                                                                                        | arxiv                                                |
| Jeung et al.        | [SEPS: A Separability Measure for Robust Unlearning in LLMs](https://arxiv.org/abs/2505.14832)                                                                                                                                                                                                                   | arxiv                                                |
| Deng et al.         | [GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection](https://arxiv.org/abs/2505.13312)                                                                                                                                                                                                 | arxiv                                                |
| Yang et al.         | [Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning](https://arxiv.org/abs/2505.11953)                                                                                                                                                                                                             | arxiv                                                |
| Qian et al.         | [Layered Unlearning for Adversarial Relearning](https://arxiv.org/abs/2505.09500)                                                                                                                                                                                                                                | arxiv                                                |
| Vasilev et al.      | [Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation](https://arxiv.org/abs/2505.06027)                                                                                                                                                                                          | arxiv                                                |
| Lu et al.           | [WaterDrum: Watermarking for Data-centric Unlearning Metric](https://arxiv.org/abs/2505.05064)                                                                                                                                                                                                                   | arxiv                                                |
| Xu et al.           | [OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models](https://arxiv.org/abs/2505.04416)                                                                                                                                                                                                 | arxiv                                                |
| Sun et al.          | [Unlearning vs. Obfuscation: Are We Truly Removing Knowledge?](https://arxiv.org/abs/2505.02884)                                                                                                                                                                                                                 | arxiv                                                |
| Patil et al.        | [Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation](https://arxiv.org/abs/2505.01456)                                                                                                                                                                                 | arxiv                                                |
| Zhong et al.        | [DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers](https://arxiv.org/abs/2504.15827)                                                                                                                                                                                       | arxiv                                                |
| Chen et al.         | [ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data](https://arxiv.org/abs/2504.14452)                                                                                                                                                                                        | arxiv                                                |
| Mahmud et al.       | [DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMs](https://arxiv.org/abs/2504.13774)                                                                                                                                                                                                     | arxiv                                                |
| Klochkov et al.     | [A mean teacher algorithm for unlearning of language models](https://arxiv.org/abs/2504.13388)                                                                                                                                                                                                                   | arxiv                                                |
| Kim et al.          | [GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs](https://arxiv.org/abs/2504.12681)                                                                                                                                                                                                  | arxiv                                                |
| Pal et al.          | [LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks](https://arxiv.org/abs/2504.10185)                                                                                                                                                                                         | arxiv                                                |
| Muhamed et al.      | [SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs](https://arxiv.org/abs/2504.08192)                                                                                                                                                                          | arxiv                                                |
| Feng et al.         | [Bridging the Gap Between Preference Alignment and Machine Unlearning](https://arxiv.org/abs/2504.06659)                                                                                                                                                                                                         | arxiv                                                |
| Feng et al.         | [A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty](https://arxiv.org/abs/2504.06658)                                                                                                                                                            | arxiv                                                |
| Krishnan et al.     | [Not All Data Are Unlearned Equally](https://arxiv.org/abs/2504.05058)                                                                                                                                                                                                                                           | arxiv                                                |
| Kuo et al.          | [Exact Unlearning of Finetuning Data via Model Merging at Scale](https://arxiv.org/abs/2504.04626)                                                                                                                                                                                                               | arxiv                                                |
| Xu et al.           | [SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning](https://arxiv.org/abs/2503.22948)                                                                                                                                                                                | arxiv                                                |
| Li et al.           | [Effective Skill Unlearning through Intervention and Abstention](https://arxiv.org/abs/2503.21730)                                                                                                                                                                                                               | arxiv                                                |
| Xu et al.           | [PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models](https://arxiv.org/abs/2503.12545)                                                                                                                                                                           | arxiv                                                |
| Poppi et al.        | [Hyperbolic Safety-Aware Vision-Language Models](https://arxiv.org/abs/2503.12127)                                                                                                                                                                                                                               | arxiv                                                |
| Chen et al.         | [Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning](https://arxiv.org/abs/2503.11832)                                                                                                                                                                                                    | arxiv                                                |
| Wang et al.         | [UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets](https://arxiv.org/abs/2503.04693)                                                                                                                                                                                           | arxiv                                                |
| Zhao et al.         | [Improving LLM Safety Alignment with Dual-Objective Optimization](https://arxiv.org/abs/2503.03710)                                                                                                                                                                                                              | arxiv                                                |
| Yang et al.         | [CE-U: Cross Entropy Unlearning](https://arxiv.org/abs/2503.01224)                                                                                                                                                                                                                                               | arxiv                                                |
| Wang et al.         | [Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models](https://arxiv.org/abs/2502.19982)                                                                                                                                                                                          | arxiv                                                |
| Wang et al.         | [Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond](https://arxiv.org/abs/2502.19301)                                                                                                                                                                                                   | arxiv                                                |
| Yang et al.         | [FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge](https://arxiv.org/abs/2502.19207)                                                                                                                                                                  | arxiv                                                |
| Jiang et al.        | [Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal](https://arxiv.org/abs/2502.18810)                                                                                                                                                                    | arxiv                                                |
| Chen et al.         | [Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models](https://arxiv.org/abs/2502.15836)                                                                                                                                                                                                 | arxiv                                                |
| Jung et al.         | [CoME: An Unlearning-based Approach to Conflict-free Model Editing](https://arxiv.org/abs/2502.15826)                                                                                                                                                                                                            | arxiv                                                |
| Ramakrishna et al.  | [LUME: LLM Unlearning with Multitask Evaluations](https://arxiv.org/abs/2502.15097)                                                                                                                                                                                                                              | arxiv                                                |
| Patil et al.        | [UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning](https://arxiv.org/abs/2502.15082)                                                                                                                                                                                                         | arxiv                                                |
| Russinovich et al.  | [Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models](https://arxiv.org/abs/2502.15010)                                                                                                                                                                            | arxiv                                                |
| Chen et al.         | [SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning](https://arxiv.org/abs/2502.12520)                                                                                                                                                                       | arxiv                                                |
| Chang et al.        | [Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning](https://arxiv.org/abs/2502.11441)                                                                                                                                                                                               | arxiv                                                |
| Shen et al.         | [LUNAR: LLM Unlearning via Neural Activation Redirection](https://arxiv.org/abs/2502.07218)                                                                                                                                                                                                                      | arxiv                                                |
| Geng et al.         | [Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning](https://arxiv.org/abs/2502.05739)                                                                                                                                                                                             | arxiv                                                |
| Hu et al.           | [FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model](https://arxiv.org/abs/2502.01472)                                                                                                                                                                  | arxiv                                                |
| Cheng et al.        | [Tool Unlearning for Tool-Augmented LLMs](https://arxiv.org/abs/2502.01083)                                                                                                                                                                                                                                      | arxiv                                                |
| Zhang et al.        | [Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating](https://arxiv.org/abs/2502.00158)                                                                                                                                                                     | arxiv                                                |
| Huu-Tien et al.     | [Improving LLM Unlearning Robustness via Random Perturbations](https://arxiv.org/abs/2501.19202)                                                                                                                                                                                                                 | arxiv                                                |
| He et al.           | [Deep Contrastive Unlearning for Language Models](https://arxiv.org/abs/2503.14900)                                                                                                                                                                                                                              | arxiv                                                |
| Khoriaty et al.     | [Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning](https://arxiv.org/abs/2503.11127)                                                                                                                                                                                                | arxiv                                                |
| Ren et al.          | [A General Framework to Enhance Fine-tuning-based LLM Unlearning](https://arxiv.org/abs/2502.17823)                                                                                                                                                                                                              | arxiv                                                |
| Lang et al.         | [Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis](https://arxiv.org/abs/2502.13996)                                                                                                                                                                                | arxiv                                                |
| Amara et al.        | [EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques](https://arxiv.org/abs/2501.09833)                                                                                                                                                                                                   | arxiv                                                |
| Brannvall et al.    | [Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning](https://arxiv.org/abs/2501.11525)                                                                                                                                                                              | arxiv                                                |
| Chen et al.         | [Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Models](https://arxiv.org/abs/2502.12527)                                                                                                                                                                             | arxiv                                                |
| Fuchi et al.        | [Erasing with Precision: Evaluating Specific Concept Erasure from Text-to-Image Generative Models](https://arxiv.org/abs/2502.13989)                                                                                                                                                                             | arxiv                                                |
| Kim et al.          | [A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models](https://arxiv.org/abs/2502.14896)                                                                                                                                                                                                  | arxiv                                                |
| Meng et al.         | [Concept Corrector: Erase concepts on the fly for text-to-image diffusion models](https://arxiv.org/abs/2502.16368)                                                                                                                                                                                              | arxiv                                                |
| Beerens et al.      | [On the Vulnerability of Concept Erasure in Diffusion Models](https://arxiv.org/abs/2502.17537)                                                                                                                                                                                                                  | arxiv                                                |
| Chen et al.         | [TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models](https://arxiv.org/abs/2503.07389)                                                                                                                                                                                           | arxiv                                                |
| Li et al.           | [SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models](https://arxiv.org/abs/2503.07392)                                                                                                                                                                                                 | arxiv                                                |
| Tian et al.         | [Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models](https://arxiv.org/abs/2503.09446)                                                                                                                                                                           | arxiv                                                |
| Carter et al.       | [ACE: Attentional Concept Erasure in Diffusion Models](https://arxiv.org/abs/2504.11850)                                                                                                                                                                                                                         | arxiv                                                |
| Li et al.           | [Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts](https://arxiv.org/abs/2504.12782)                                                                                                                                                                                         | arxiv                                                |
| Grebe et al.        | [Erased but Not Forgotten: How Backdoors Compromise Concept Erasure](https://arxiv.org/abs/2504.21072)                                                                                                                                                                                                           | arxiv                                                |
| Gao et al.          | [Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models](https://arxiv.org/abs/2505.02824)                                                                                                                                                                                 | arxiv                                                |
| Biswas et al.       | [CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models](https://arxiv.org/abs/2505.12677)                                                                                                                                                                                           | arxiv                                                |
| Chen et al.         | [Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models](https://arxiv.org/abs/2505.15450)                                                                                                                                                                             | arxiv                                                |
| Liu et al.          | [Erased or Dormant? Rethinking Concept Erasure Through Reversibility](https://arxiv.org/abs/2505.16174)                                                                                                                                                                                                          | arxiv                                                |
| Lu et al.           | [When Are Concepts Erased From Diffusion Models?](https://arxiv.org/abs/2505.17013)                                                                                                                                                                                                                              | arxiv                                                |
| Xie et al.          | [Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression](https://arxiv.org/abs/2505.19398)                                                                                                                                                                                        | arxiv                                                |
| Gur-Arieh et al.    | [Precise In-Parameter Concept Erasure in Large Language Models](https://arxiv.org/abs/2505.22586)                                                                                                                                                                                                                | arxiv                                                |
| Carter et al.       | [TRACE: Trajectory-Constrained Concept Erasure in Diffusion Models](https://arxiv.org/abs/2505.23312)                                                                                                                                                                                                            | arxiv                                                |
| Zhu et al.          | [SAGE: Exploring the Boundaries of Unsafe Concept Domain with Semantic-Augment Erasing](https://arxiv.org/abs/2506.09363)                                                                                                                                                                                        | arxiv                                                |
| Fan et al.          | [EAR: Erasing Concepts from Unified Autoregressive Models](https://arxiv.org/abs/2506.20151)                                                                                                                                                                                                                     | arxiv                                                |
| Lee et al.          | [Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate](https://arxiv.org/abs/2506.22806)                                                                                                                                                                                       | arxiv                                                |
| Fu et al.           | [FADE: Adversarial Concept Erasure in Flow Models](https://arxiv.org/abs/2507.12283)                                                                                                                                                                                                                             | arxiv                                                |
|Wu et al. | [MUNBa: Machine Unlearning via Nash Bargaining](https://arxiv.org/abs/2411.15537)|arxiv|

### 2024

| Author(s)          | Title                                                                                                                                                                                                                                                                 | Venue                                                     |
| :----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
| Tian et al.        | [DeRDaVa: Deletion-Robust Data Valuation for Machine Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29462)                                                                                                                                                | AAAI                                                      |
|Ni et al. | [ORES: open-vocabulary responsible visual synthesis](https://dl.acm.org/doi/10.1609/aaai.v38i19.30144)|AAAI|
| Moon et al.        | [Feature Unlearning for Pre-trained GANs and VAEs](https://ojs.aaai.org/index.php/AAAI/article/view/30138)                                                                                                                                                            | AAAI                                                      |
| Rashid et al.      | [Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage](https://ojs.aaai.org/index.php/AAAI/article/view/34218)                                                                                                         | AAAI                                                      |
| Cha et al.         | [Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers](https://ojs.aaai.org/index.php/AAAI/article/view/28996)                                                                                                                                   | AAAI                                                      |
| Hong et al.        | [All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models](https://ojs.aaai.org/index.php/AAAI/article/view/30107)                                                                                                             | AAAI                                                      |
| Kim et al.         | [Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation](https://ojs.aaai.org/index.php/AAAI/article/view/30118)                                                                                             | AAAI                                                      |
| Foster et al.      | [Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening](https://ojs.aaai.org/index.php/AAAI/article/view/29092)                                                                                                                             | AAAI                                                      |
| Hu et al.          | [Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation](https://ojs.aaai.org/index.php/AAAI/article/view/29784)                                                                                                     | AAAI                                                      |
| Li et al.          | [Towards Effective and General Graph Unlearning via Mutual Evolution](https://ojs.aaai.org/index.php/AAAI/article/view/29273)                                                                                                                                         | AAAI                                                      |
| Liu et al.         | [Backdoor Attacks via Machine Unlearning](https://ojs.aaai.org/index.php/AAAI/article/view/29321)                                                                                                                                                                     | AAAI                                                      |
| You et al.         | [RRL: Recommendation Reverse Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28782)                                                                                                                                                                        | AAAI                                                      |
| Moon et al.        | [Feature Unlearning for Generative Models via Implicit Feedback](https://ojs.aaai.org/index.php/AAAI/article/view/30138)                                                                                                                                              | AAAI                                                      |
|Li et al. | [SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models](https://dl.acm.org/doi/10.1145/3658644.3670295)|ACM CCS|
| Lin et al.         | [GDR-GMA: Machine Unlearning via Direction-Rectified and Magnitude-Adjusted Gradients](https://dl.acm.org/doi/abs/10.1145/3664647.3680775)                                                                                                                            | ACM MM                                                    |
| Huang et al.       | [Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials](https://dl.acm.org/doi/abs/10.1145/3660818)                                                                                                                        | ACM SE                                                    |
| Feng et al.        | [Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models](https://aclanthology.org/2024.emnlp-main.566/)                                                                                                                                   | ACL                                                       |
| Arad et al.  |[ReFACT: Updating Text-to-Image Models by Editing the Text Encoder](https://aclanthology.org/2024.naacl-long.140/)|ACL|
|Wu et al. | [Universal Prompt Optimizer for Safe Text-to-Image Generation](https://aclanthology.org/2024.naacl-long.351/)|ACL|
| Liu et al.         | [Towards Safer Large Language Models through Machine Unlearning](https://aclanthology.org/2024.findings-acl.107/)                                                                                                                                                     | ACL                                                       |
| Kim et al.         | [Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning](https://aclanthology.org/2024.acl-long.322/)                                                                                                                                | ACL                                                       |
| Lee et al.         | [Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models](https://aclanthology.org/2024.findings-acl.936/)                                                                                                             | ACL                                                       |
| Choi et al.        | [Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models](https://aclanthology.org/2024.findings-emnlp.630/)                                                                                                                                  | ACL                                                       |
| Isonuma et al.     | [Unlearning Traces the Influential Training Data of Language Models](https://aclanthology.org/2024.acl-long.343.pdf)                                                                                                                                                  | ACL                                                       |
| Zhou et al.        | [Visual In-Context Learning for Large Vision-Language Models](https://aclanthology.org/2024.findings-acl.940/)                                                                                                                                                        | ACL                                                       |
| Xing et al.        | [EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models](https://aclanthology.org/2024.emnlp-main.67/)                                                                                                   | ACL                                                       |
| Yao et al.         | [Machine Unlearning of Pre-trained Large Language Models](https://aclanthology.org/2024.acl-long.457/)                                                                                                                                                                | ACL                                                       |
| Zhao et al.        | [Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning](https://aclanthology.org/2024.findings-acl.559/)                                                                                                                     | ACL                                                       |
| Ni et al.          | [Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models](https://aclanthology.org/2024.acl-long.310/)                                                                                                            | ACL                                                       |
| Zhou et al.        | [Making Harmful Behaviors Unlearnable for Large Language Models](https://openreview.net/forum?id=a8cMY6s88u)                                                                                                                                                          | ACL                                                       |
| Yamashita et al.   | [One-Shot Machine Unlearning with Mnemonic Code](https://openreview.net/forum?id=JQ7Ri3ccx6)                                                                                                                                                                          | ACML                                                      |
| Fraboni et al.     | [SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization](https://proceedings.mlr.press/v238/fraboni24a.html)                                                                                           | AISTATS                                                   |
| Alshehri and Zhang | [Forgetting User Preference in Recommendation Systems with Label-Flipping](https://ieeexplore.ieee.org/abstract/document/10386603/authors#authors)                                                                                                                    | BigData                                                   |
| Qiu et al.         | [FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation](https://ieeexplore.ieee.org/document/10386788)                                                                                                                    | BigData                                                   |
| Yang and Li        | [When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction](https://ieeexplore.ieee.org/abstract/document/10386624)                                                                                                          | BigData                                                   |
| Hu et al.          | [ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach](https://dl.acm.org/doi/abs/10.1145/3658644.3670398)                                                                                                                                     | CCS                                                       |
| Zhang et al.       | [Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning](https://openreview.net/forum?id=MXLBXjQkmb)                                                                                                                                    | COLM                                                      |
| Maini et al.       | [TOFU: A Task of Fictitious Unlearning for LLMs](https://openreview.net/forum?id=B41hNBoWLo)                                                                                                                                                                          | COLM                                                      |
| Abbasi et al.      | [Brainwash: A Poisoning Attack to Forget in Continual Learning](https://openaccess.thecvf.com/content/CVPR2024/html/Abbasi_BrainWash_A_Poisoning_Attack_to_Forget_in_Continual_Learning_CVPR_2024_paper.html)                                                         | CVPR                                                      |
| Chen et al. | [Towards Memorization-Free Diffusion Models](https://openaccess.thecvf.com/content/CVPR2024/html/Chen_Towards_Memorization-Free_Diffusion_Models_CVPR_2024_paper.html)|CVPR|
| Lyu et al.         | [One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications](https://openaccess.thecvf.com/content/CVPR2024/html/Lyu_One-dimensional_Adapter_to_Rule_Them_All_Concepts_Diffusion_Models_and_CVPR_2024_paper.html)                  | CVPR                                                      |
|Wallace et al. |[Diffusion Model Alignment Using Direct Preference Optimization](https://openaccess.thecvf.com/content/CVPR2024/html/Wallace_Diffusion_Model_Alignment_Using_Direct_Preference_Optimization_CVPR_2024_paper.html)|CVPR|
| Lu et al. | [MACE: Mass Concept Erasure in Diffusion Models](https://openaccess.thecvf.com/content/CVPR2024/html/Lu_MACE_Mass_Concept_Erasure_in_Diffusion_Models_CVPR_2024_paper.html)|CVPR|
| Chen et al.        | [WPN: An Unlearning Method Based on N-pair Contrastive Learning in Language Models](https://ebooks.iospress.nl/doi/10.3233/FAIA240662)                                                                                                                                | ECAI                                                      |
| Fan et al.         | [Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning](https://link.springer.com/chapter/10.1007/978-3-031-72664-4_16)                                                                                                                     | ECCV                                                      |
|Gong et al. | [Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models](https://dl.acm.org/doi/10.1007/978-3-031-73668-1_5)|ECCV|
|Kim et al. | [R.A.C.E. : Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model](https://link.springer.com/chapter/10.1007/978-3-031-73010-8_27)|ECCV|
|Kim et al. | [Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion](https://link.springer.com/chapter/10.1007/978-3-031-72855-6_8)|ECCV|
| Wu et al.          | [Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks](https://link.springer.com/chapter/10.1007/978-3-031-72970-6_21)                                                                                                                           | ECCV                                                      |
| Zhang et al.       | [To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now](https://link.springer.com/chapter/10.1007/978-3-031-72998-0_22)                                                                                   | ECCV                                                      |
| Liu et al.         | [Implicit Concept Removal of Diffusion Models](https://link.springer.com/chapter/10.1007/978-3-031-72664-4_26)                                                                                                                                                        | ECCV                                                      |
|Ban et al. | [Understanding the Impact of Negative Prompts: When and How Do They Take Effect?](https://dl.acm.org/doi/10.1007/978-3-031-73024-5_12)|ECCV|
| Zhang et al. | [IMMA: Immunizing Text-to-Image Models Against Malicious Adaptation](https://link.springer.com/chapter/10.1007/978-3-031-72933-1_26)|ECCV|
| Poppi et al. | [Removing NSFW Concepts from Vision-and-Language Models for Text-to-Image Retrieval and Generation](https://arxiv.org/abs/2311.16254)|ECCV|
|Liu et al. | [Latent Guard: A Safety Framework for Text-to-Image Generation](https://link.springer.com/chapter/10.1007/978-3-031-73347-5_6)|ECCV|
| Huang et al.       | [Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers](https://dl.acm.org/doi/10.1007/978-3-031-73661-2_20)                                                                                                                    | ECCV                                                      |
| Cheng et al.       | [MultiDelete for Multimodal Machine Unlearning](https://link.springer.com/chapter/10.1007/978-3-031-72940-9_10)                                                                                                                                                       | ECCV                                                      |
| Wang et al.        | [How to Forget Clients in Federated Online Learning to Rank?](https://link.springer.com/chapter/10.1007/978-3-031-56063-7_7)                                                                                                                                          | ECIR                                                      |
| Jia et al.         | [SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning](https://aclanthology.org/2024.emnlp-main.245/)                                                                                                                                            | EMNLP                                                     |
| Joshi et al.       | [Towards Robust Evaluation of Unlearning in LLMs via Data Transformations](https://openreview.net/forum?id=dEuedZCU66)                                                                                                                                                | EMNLP                                                     |
| Tian et al.        | [To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models](https://aclanthology.org/2024.findings-emnlp.82/)                                                                                                                                | arxiv                                                     |
| Chakraborty et al. | [Can Textual Unlearning Solve Cross-Modality Safety Alignment?](https://aclanthology.org/2024.findings-emnlp.574/)                                                                                                                                                    | EMNLP                                                     |
| Huang et al.       | [Demystifying Verbatim Memorization in Large Language Models](https://aclanthology.org/2024.emnlp-main.598/)                                                                                                                                                          | EMNLP                                                     |
| Liu et al.         | [Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective](https://aclanthology.org/2024.emnlp-main.495/)                                                                                                                    | EMNLP                                                     |
| Chen et al.        | [Unlearn What You Want to Forget: Efficient Unlearning for LLMs](https://aclanthology.org/2023.emnlp-main.738/)                                                                                                                                                       | EMNLP                                                     |
| Liu et al.         | [Forgetting Private Textual Sequences in Language Models Via Leave-One-Out Ensemble](https://ieeexplore.ieee.org/abstract/document/10446299)                                                                                                                          | ICASSP                                                    |
| Liu et al.         | [Learning to Refuse: Towards Mitigating Privacy Risks in LLMs](https://aclanthology.org/2025.coling-main.114/)                                                                                                                                                        | ICCL                                                      |
| Fan et al.         | [SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation](https://openreview.net/forum?id=gn0mIhQGNM)                                                                                                     | ICLR                                                      |
| Liu et al.         | [Tangent Transformers for Composition, Privacy and Removal](https://openreview.net/forum?id=VLFhbOCz5D)                                                                                                                                                               | ICLR                                                      |
| Li et al.          | [Machine Unlearning for Image-to-Image Generative Models](https://openreview.net/forum?id=9hjVoPWPnh)                                                                                                                                                                 | ICLR                                                      |
| Shen et al.        | [Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models](https://openreview.net/forum?id=SIZWiya7FE)                                                                                                                                                 | ICLR                                                      |
|Li et al. | [Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models](https://openreview.net/forum?id=zpVPhvVKXk)| ICLR|
| Tsai et al.        | [Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?](https://openreview.net/forum?id=lm7MRcsFiS)                                                                                                                                             | ICLR                                                      |
| Wang et al.        | [A Unified and General Framework for Continual Learning](https://openreview.net/forum?id=BE5aK0ETbp)                                                                                                                                                                  | ICLR                                                      |
| Shi et al.         | [Detecting Pretraining Data from Large Language Models](https://openreview.net/forum?id=zWqr3MQuNs&trk)                                                                                                                                                               | ICLR                                                      |
| Eldan et al.       | [Who’s Harry Potter? Approximate Unlearning in LLMs](https://openreview.net/forum?id=PDct7vrcvT)                                                                                                                                                                      | ICLR                                                      |
| Wang et al.        | [LLM Unlearning via Loss Adjustment with Only Forget Data](https://arxiv.org/abs/2410.11143)                                                                                                                                                                          | ICLR                                                      |
|Chavhan et al. | [ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning](https://openreview.net/forum?id=kSdWcw5mkp)|ICLR|
| Zhao et al.        | [Rethinking Adversarial Robustness in the Context of the Right to be Forgotten](https://icml.cc/virtual/2024/poster/32857)                                                                                                                                            | ICML                                                      |
| Pawelczyk et al.   | [In-Context Unlearning: Language Models As Few Shot Unlearners](https://dl.acm.org/doi/abs/10.5555/3692070.3693692)                                                                                                                                                   | ICML                                                      |
| Barbulescu et al.  | [To each (textual sequence) its own: improving memorized-data unlearning in large language models](https://dl.acm.org/doi/abs/10.5555/3692070.3692191)                                                                                                                | ICML                                                      |
| Li et al.          | [The WMDP benchmark: measuring and reducing malicious use with unlearning](https://dl.acm.org/doi/abs/10.5555/3692070.3693215)                                                                                                                                        | ICML                                                      |
| Das et al.         | [Larimar: large language models with episodic memory control](https://dl.acm.org/doi/abs/10.5555/3692070.3692472)                                                                                                                                                     | ICML                                                      |
| Barbulescu et al.  | [To each (textual sequence) its own: improving memorized-data unlearning in large language models](https://dl.acm.org/doi/abs/10.5555/3692070.3692191)                                                                                                                | ICML                                                      |
| Zhao et al.        | [Learning and forgetting unsafe examples in large language models](https://dl.acm.org/doi/abs/10.5555/3692070.3694584)                                                                                                                                                | ICML                                                      |
|Basu et al. | [On mechanistic knowledge localization in text-to-image generative models](https://dl.acm.org/doi/10.5555/3692070.3692199)|ICML|
| Zhang et al.       | [SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning](https://link.springer.com/chapter/10.1007/978-3-031-78169-8_23)                                                                                                             | ICPR                                                      |
| Cai et al.         | [Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation](https://dl.acm.org/doi/abs/10.1145/3637528.3671758)                                                                                                                               | KDD                                                       |
| Gong et al.        | [A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction](https://dl.acm.org/doi/abs/10.1145/3637528.3671984)                                                                                                      | KDD                                                       |
| Xue et al.         | [Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction](https://proceedings.mlr.press/v250/xue24a.html)                                                                                                                                           | MIDL                                                      |
| Gao et al.         | [Ethos: Rectifying Language Models in Orthogonal Parameter Space](https://aclanthology.org/2024.findings-naacl.132/)                                                                                                                                                  | NAACL                                                     |
| Park et al.        | [Direct Unlearning Optimization for Robust and Safe Text-to-Image Models](https://openreview.net/forum?id=UdXE5V2d0O)                                                                                                                                                 | NeurIPS                                                   |
| Ko et al.          | [Boosting Alignment for Post-Unlearning Text-to-Image Generative Models](https://openreview.net/forum?id=93ktalFvnJ)                                                                                                                                                  | NeurIPS                                                   |
| Yang et al. | [GuardT2I: Defending Text-to-Image Models from Adversarial Prompts](https://proceedings.neurips.cc/paper_files/paper/2024/hash/8bea36ac39e11ebe49e9eddbd4b8bd3a-Abstract-Conference.html)|NeurIPS|
| Li et al.          | [Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models](https://proceedings.neurips.cc/paper_files/paper/2024/hash/3e53d82a1113e3d240059a9195668edc-Abstract-Conference.html)                                                     | NeurIPS                                                   |
| Jain et al.        | [What Makes and Breaks Safety Fine-tuning? A Mechanistic Study](https://proceedings.neurips.cc/paper_files/paper/2024/hash/a9bef53eb7b0e5950d4f2d9c74a16006-Abstract-Conference.html)                                                                                 | NeurIPS                                                   |
| Wu et al.          | [Cross-model Control: Improving Multiple Large Language Models in One-time Training](https://proceedings.neurips.cc/paper_files/paper/2024/hash/9856b5d30ac61ab744fdab6f67d874e4-Abstract-Conference.html)                                                            | NeurIPS                                                   |
| Bui et al.         | [Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation](https://proceedings.neurips.cc/paper_files/paper/2024/hash/f02d7fb7ddd2e6be33b6f3224e5cc44a-Abstract-Conference.html)                                                                | NeurIPS                                                   |
| Zhao et al.        | [What makes unlearning hard and what to do about it](https://proceedings.neurips.cc/paper_files/paper/2024/hash/16e18fa3b3add076c30f2a2598f03031-Abstract-Conference.html)                                                                                            | NeurIPS                                                   |
| Zhang et al.       | [Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models](https://proceedings.neurips.cc/paper_files/paper/2024/hash/40954ac18a457dd5f11145bae6454cdf-Abstract-Conference.html)                                                 | NeurIPS                                                   |
| Yao et al.         | [Large Language Model Unlearning](https://proceedings.neurips.cc/paper_files/paper/2024/hash/be52acf6bccf4a8c0a90fe2f5cfcead3-Abstract-Conference.html)                                                                                                               | NeurIPS                                                   |
| Ji et al.          | [Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference](https://proceedings.neurips.cc/paper_files/paper/2024/hash/171291d8fed723c6dfc76330aa827ff8-Abstract-Conference.html?utm_source=chatgpt.com)                    | NeurIPS                                                   |
| Liu et al.         | [Large Language Model Unlearning via Embedding-Corrupted Prompts](https://proceedings.neurips.cc/paper_files/paper/2024/hash/d6359156e0e30b1caa116a4306b12688-Abstract-Conference.html)                                                                               | NeurIPS                                                   |
| Jia et al.         | [WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models](https://proceedings.neurips.cc/paper_files/paper/2024/hash/649ad92e7067b3553a0f15acac68806d-Abstract-Conference.html)                                             | NeurIPS                                                   |
| Zhang et al.       | [UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models](https://proceedings.neurips.cc/paper_files/paper/2024/hash/aebf4822d30c3f2600566af7eba83548-Abstract-Datasets_and_Benchmarks_Track.html)                               | NeurIPS D&B                                               |
| Jin et al.         | [RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models](https://proceedings.neurips.cc/paper_files/paper/2024/hash/b1f78dfc9ca0156498241012aec4efa0-Abstract-Datasets_and_Benchmarks_Track.html)                                               | NeurIPS D&B                                               |
| Kurmanji et al.    | [Machine Unlearning in Learned Databases: An Experimental Analysis](https://dl.acm.org/doi/abs/10.1145/3639304)                                                                                                                                                       | SIGMOD                                                    |
| Shen et al.        | [CaMU: Disentangling Causal Effects in Deep Model Unlearning](https://epubs.siam.org/doi/abs/10.1137/1.9781611978032.89)                                                                                                                                              | SDM                                                       |
| Yoon et al.        | [Few-Shot Unlearning](https://ieeexplore.ieee.org/document/10646697)                                                                                                                                                                                                  | SP                                                        |
| Hu et al.          | [Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning](https://ieeexplore.ieee.org/document/10646717)                                                                                                                              | SP                                                        |
| Hoang et al.       | [Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection](https://openaccess.thecvf.com/content/WACV2024/html/Hoang_Learn_To_Unlearn_for_Deep_Neural_Networks_Minimizing_Unlearning_Interference_WACV_2024_paper.html) | WACV                                                      |
| Gandikota et al. | [Unified Concept Editing in Diffusion Models](https://openaccess.thecvf.com/content/WACV2024/html/Gandikota_Unified_Concept_Editing_in_Diffusion_Models_WACV_2024_paper.html)|WACV|
| Malnick et al. | [Taming Normalizing Flows](https://openaccess.thecvf.com/content/WACV2024/html/Malnick_Taming_Normalizing_Flows_WACV_2024_paper.html)|WACV|
| Xin et al.         | [On the Effectiveness of Unlearning in Session-Based Recommendation](https://dl.acm.org/doi/abs/10.1145/3616855.3635823)                                                                                                                                              | WSDM                                                      |
| Zhang              | [Graph Unlearning with Efficient Partial Retraining](https://dl.acm.org/doi/abs/10.1145/3589335.3651265)                                                                                                                                                              | WWW                                                       |
| Liu et al.         | [Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning](https://dl.acm.org/doi/abs/10.1145/3589334.3645669)                                                                                                                       | WWW                                                       |
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| Liu et al.         | [A Survey on Federated Unlearning: Challenges, Methods, and Future Directions](https://dl.acm.org/doi/full/10.1145/3679014)                                                                                                                                           | ACM Computing Surveys                                     |
| Zhang et al.       | [Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions](https://link.springer.com/article/10.1007/s43681-024-00573-9)                                                                                                    | AI and Ethics                                             |
| Zha et al.         | [To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods](https://link.springer.com/article/10.1007/s43681-023-00398-y)                                                                                                          | AI and Ethics                                             |
| Zhang et al.       | [Recommendation Unlearning via Influence Function](https://dl.acm.org/doi/abs/10.1145/3701763)                                                                                                                                                                        | ACM Transactions on Recommender Systems                   |
| Schoepf et al.     | [Potion: Towards Poison Unlearning](https://openreview.net/forum?id=4eSiRnWWaF)                                                                                                                                                                                       | DMLR                                                      |
| Wang et al.        | [Towards efficient and effective unlearning of large language models for recommendation](https://link.springer.com/article/10.1007/s11704-024-40044-2)                                                                                                                | Frontiers of Computer Science                             |
| Poppi et al.       | [Multi-Class Explainable Unlearning for Image Classification via Weight Filtering](https://ieeexplore.ieee.org/abstract/document/10564682)                                                                                                                            | IEEE Intelligent Systems                                  |
| Panda and AP       | [FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models](https://ieeexplore.ieee.org/abstract/document/10754629)                                                                                                              | IEEE Transactions on Artificial Intelligence              |
| Alam et al.        | [Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning](https://ieeexplore.ieee.org/abstract/document/10685452)                                                                                                                                     | IEEE Transactions on Artificial Intelligence              |
| Shaik et al.       | [FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning](https://ieeexplore.ieee.org/abstract/document/10483278)                                                                                                                            | IEEE Transactions on Knowledge and Data Engineering       |
| Shaik et al.       | [Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy](https://ieeexplore.ieee.org/abstract/document/10750906)                                                                                                                          | IEEE Transactions on Neural Networks and Learning Systems |
| Romandini et al.   | [Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics](https://ieeexplore.ieee.org/abstract/document/10736348)                                                                                                                        | IEEE Transactions on Neural Networks and Learning Systems |
| Xu and Teng        | [Task-Aware Machine Unlearning and Its Application in Load Forecasting](https://ieeexplore.ieee.org/abstract/document/10472091)                                                                                                                                       | IEEE Transactions on Power Systems                        |
| Li et al.          | [Pseudo Unlearning via Sample Swapping with Hash](https://www.sciencedirect.com/science/article/abs/pii/S0020025524000483?via%3Dihub)                                                                                                                                 | Information Science                                       |
|                    |
| Fore et al.        | [Unlearning Climate Misinformation in Large Language Models](https://aclanthology.org/2024.climatenlp-1.14/)                                                                                                                                                          | ClimateNLP                                                |
| Zhang et al.       | [Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models](https://openaccess.thecvf.com/content/CVPR2024W/MMFM/html/Zhang_Forget-Me-Not_Learning_to_Forget_in_Text-to-Image_Diffusion_Models_CVPRW_2024_paper.html)                                       | CVPR Workshop                                             |
| Shi et al.         | [DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal](https://link.springer.com/chapter/10.1007/978-3-031-91672-4_1)                                                                                          | ECCV Workshop                                             |
| Sridhar et al. | [Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models](https://link.springer.com/chapter/10.1007/978-3-031-91672-4_2)|ECCV Workshop|
| Schoepf et al.     | [Loss-Free Machine Unlearning](https://openreview.net/forum?id=bCPz7uqmmh)                                                                                                                                                                                            | ICLR Tiny Paper                                           |
| Tamirisa et al.    | [Toward Robust Unlearning for LLMs](https://openreview.net/forum?id=4rPzaUF6Ej)                                                                                                                                                                                       | ICLR Workshop                                             |
| Sun et al.         | [Learning and Unlearning of Fabricated Knowledge in Language Models](https://openreview.net/forum?id=R5Q5lANcjY)                                                                                                                                                      | ICML Workshop                                             |
| Wang et al.        | [Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing](https://openreview.net/forum?id=icP1P8y4eu)                                                                                                                                       | ICML Workshop                                             |
| Kadhe et al.       | [Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs](https://openreview.net/forum?id=BzIySThX9O)                                                                                                                                 | ICML Workshop                                             |
| Zhao et al.        | [Scalability of memorization-based machine unlearning](https://openreview.net/pdf?id=VX9HGFiFF1)                                                                                                                                                                      | NeurIPS Workshop                                          |
| Wu et al.          | [CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept](https://openreview.net/forum?id=yf6gOqJiYd)                                                                                                                           | NeurIPS Workshop                                          |
| Cheng et al.       | [MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning](https://openreview.net/forum?id=FCfY1wYkn9)                                                                                                                                                       | NeurIPS Workshop                                          |
| Seyitoğlu et al.   | [Extracting Unlearned Information from LLMs with Activation Steering](https://openreview.net/forum?id=RuufZiUWUq)                                                                                                                                                     | NeurIPS Workshop                                          |
| Wei et al.         | [Provable unlearning in topic modeling and downstream tasks](https://openreview.net/forum?id=Bqvkul76J3)                                                                                                                                                              | NeurIPS Workshop                                          |
| Lucki et al.       | [An Adversarial Perspective on Machine Unlearning for AI Safety](https://arxiv.org/abs/2409.18025)                                                                                                                                                                    | NeurIPS Workshop                                          |
| Li et al.          | [LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet](https://openreview.net/forum?id=ZmQX402jWC)                                                                                                                                                          | NeurIPS Workshop                                          |
| Smirnov et al.     | [Classifier-free guidance in LLMs Safety](https://arxiv.org/abs/2412.06846)                                                                                                                                                                                           | NeurIPS Workshop                                          |
|                    |
| Liu et al.         | [Machine Unlearning in Generative AI: A Survey](https://arxiv.org/abs/2407.20516)                                                                                                                                                                                     | arxiv                                                     |
| Xu                 | [Machine Unlearning for Traditional Models and Large Language Models: A Short Survey](https://arxiv.org/abs/2404.01206)                                                                                                                                               | arxiv                                                     |
| Lynch et al.       | [Eight Methods to Evaluate Robust Unlearning in LLMs](https://arxiv.org/abs/2402.16835)                                                                                                                                                                               | arxiv                                                     |
| Dontsov et al.     | [CLEAR: Character Unlearning in Textual and Visual Modalities](https://arxiv.org/abs/2410.18057)                                                                                                                                                                      | arXiv                                                     |
| Hong et al.        | [Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces](https://arxiv.org/pdf/2406.11614)                                                                                                                                                              | arXiv                                                     |
| Jung et al.        | [Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization](https://arxiv.org/abs/2401.08998)                                                                                                       | arXiv                                                     |
| Pham et al.        | [Robust Concept Erasure Using Task Vectors](https://arxiv.org/abs/2404.03631)                                                                                                                                                                                         | arXiv                                                     |
| Qian et al.        | [Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten](https://arxiv.org/abs/2405.16798)                                                                                                                                         | arXiv                                                     |
| Schoepf et al.     | [An Information Theoretic Approach to Machine Unlearning](https://arxiv.org/abs/2402.01401)                                                                                                                                                                           | arxiv                                                     |
| Schoepf et al.     | [Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening](https://arxiv.org/abs/2402.10098)                                                                                                                                      | arXiv                                                     |
| Zhao et al.        | [Separable Multi-Concept Erasure from Diffusion Models](https://arxiv.org/abs/2402.05947)                                                                                                                                                                             | arXiv                                                     |
| Dige et al.        | [Mitigating Social Biases in Language Models through Unlearning](https://arxiv.org/abs/2406.13551)                                                                                                                                                                    | arxiv                                                     |
| Hong et al.        | [Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces](https://openreview.net/forum?id=blNaExRx7Q)                                                                                                                                                    | arxiv                                                     |
| Wang et al.        | [Towards Effective Evaluations and Comparisons for LLM Unlearning Methods](https://arxiv.org/abs/2406.09179)                                                                                                                                                          | arxiv                                                     |
| Ashuach et al.     | [REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space](https://arxiv.org/abs/2406.09325)                                                                                                                                | arxiv                                                     |
| Zuo et al.         | [Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning](https://arxiv.org/abs/2406.04076)                                                                                                                                                             | arxiv                                                     |
| Wang et al.        | [RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models](https://arxiv.org/abs/2406.01983)                                                                                                             | arxiv                                                     |
| Chen e tal.        | [Machine Unlearning in Large Language Models](https://arxiv.org/abs/2404.16841)                                                                                                                                                                                       | arxiv                                                     |
| Lu et al.          | [Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge](https://arxiv.org/abs/2404.05880)                                                                                                                                            | arxiv                                                     |
| Stoehr et al.      | [Localizing Paragraph Memorization in Language Models](https://arxiv.org/abs/2403.19851)                                                                                                                                                                              | arxiv                                                     |
| Pochinkov et al.   | [Dissecting Language Models: Machine Unlearning via Selective Pruning](https://arxiv.org/abs/2403.01267)                                                                                                                                                              | arxiv                                                     |
| Gu et al.          | [Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models](https://arxiv.org/abs/2403.10557)                                                                                                                                         | arxiv                                                     |
| Thaker et al.      | [Guardrail Baselines for Unlearning in LLMs](https://arxiv.org/abs/2403.03329)                                                                                                                                                                                        | arxiv                                                     |
| Wang et al.        | [When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?](https://arxiv.org/abs/2410.15267)                                                                                                                              | arxiv                                                     |
| Muresanu et al.    | [Unlearnable Algorithms for In-context Learning](https://arxiv.org/abs/2402.00751)                                                                                                                                                                                    | arxiv                                                     |
| Zhao et al.        | [Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation](https://arxiv.org/abs/2410.14425)                                                                                                                                                   | arxiv                                                     |
| Choi et al.        | [Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning](https://arxiv.org/abs/2410.13274)                                                                                                                                                           | arxiv                                                     |
| Guo et al.         | [Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization](https://arxiv.org/abs/2410.12949)                                                                                                                                      | arxiv                                                     |
| Deeb et al.        | [Do Unlearning Methods Remove Information from Language Model Weights?](https://openreview.net/forum?id=uDjuCpQH5N)                                                                                                                                                   | arxiv                                                     |
| Takashiro et al.   | [Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning](https://arxiv.org/abs/2410.00382)                                                                                                                        | arxiv                                                     |
| Veldanda et al.    | [LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models](https://arxiv.org/abs/2409.13054)                                                                                                                                                  | arxiv                                                     |
| Gu et al.          | [MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts](https://arxiv.org/abs/2409.11844)                                                                                                                                                                         | arxiv                                                     |
| Zhang et al.       | [Unforgettable Generalization in Language Models](https://arxiv.org/abs/2409.02228)                                                                                                                                                                                   | arxiv                                                     |
| Kazemi et al.      | [Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code](https://arxiv.org/abs/2408.12416)                                                                                                                                | arxiv                                                     |
| Huu-Tien et al.    | [On Effects of Steering Latent Representation for Large Language Model Unlearning](https://arxiv.org/abs/2408.06223)                                                                                                                                                  | arxiv                                                     |
| Yang et al.        | [Hotfixing Large Language Models for Code](https://arxiv.org/abs/2408.05727)                                                                                                                                                                                          | arxiv                                                     |
| Lizzo et al.       | [UNLEARN Efficient Removal of Knowledge in Large Language Models](https://arxiv.org/abs/2408.04140)                                                                                                                                                                   | arxiv                                                     |
| Tamirisa et al.    | [Tamper-Resistant Safeguards for Open-Weight LLMs](https://arxiv.org/abs/2408.00761)                                                                                                                                                                                  | arxiv                                                     |
| Zhou et al.        | [On the Limitations and Prospects of Machine Unlearning for Generative AI](https://arxiv.org/abs/2408.00376)                                                                                                                                                          | arxiv                                                     |
| Tang et al.        | [Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models](https://arxiv.org/abs/2407.20271)                                                                                                                                             | arxiv                                                     |
| Lu et al.          | [Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigation](https://arxiv.org/abs/2407.16951)                                                                                                                                                   | arxiv                                                     |
| Gao et al.         | [On Large Language Model Continual Unlearning](https://arxiv.org/abs/2407.10223)                                                                                                                                                                                      | arxiv                                                     |
| Kolbeinsson et al. | [Composable Interventions for Language Models](https://arxiv.org/abs/2407.06483)                                                                                                                                                                                      | arxiv                                                     |
| Hernandez et al.   | [If You Don't Understand It, Don't Use It: Eliminating Trojans with Filters Between Layers](https://arxiv.org/abs/2407.06411)                                                                                                                                         | arxiv                                                     |
| Zhang et al.       | [From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks](https://arxiv.org/abs/2407.02855)                                                                                                                                 | arxiv                                                     |
| Scaria et al.      | [Can Small Language Models Learn, Unlearn, and Retain Noise Patterns?](https://arxiv.org/abs/2407.00996)                                                                                                                                                              | arxiv                                                     |
| Shumailov et al.   | [UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI](https://arxiv.org/abs/2407.00106)                                                                                                                                       | arxiv                                                     |
| Qiu et al.         | [How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective](https://arxiv.org/abs/2406.16810)                                                                                                                                           | arxiv                                                     |
| Lu et al.          | [Learn and Unlearn in Multilingual LLMs](https://arxiv.org/abs/2406.13748)                                                                                                                                                                                            | arxiv                                                     |
| Ma et al.          | [Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset](https://arxiv.org/abs/2411.03554)                                                                                                                                              | arxiv                                                     |
| Rezaei et al.      | [RESTOR: Knowledge Recovery in Machine Unlearning](https://arxiv.org/abs/2411.00204)                                                                                                                                                                                  | arxiv                                                     |
| Baluta et al.      | [Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method](https://arxiv.org/abs/2411.04388)                                                                                                                                                   | arxiv                                                     |
| Doshi et al.       | [Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods](https://arxiv.org/abs/2411.12103)                                                                                                                                                   | arxiv                                                     |
| Wei et al.         | [Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning](https://arxiv.org/abs/2412.08559)                                                                                                                                          | arxiv                                                     |
| Zuo et al.         | [Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration](https://arxiv.org/abs/2412.13551)                                                                                                                     | arxiv                                                     |
| Dou et al.         | [Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning](https://arxiv.org/abs/2412.18621)                                                                                                                  | arxiv                                                     |
| Ren et al.         | [Copyright Protection in Generative AI: A Technical Perspective, 2024](https://arxiv.org/abs/2402.02333)                                                                                                                                                              | arxiv                                                     |
| Gu et al.          | [Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models](https://arxiv.org/abs/2403.10557)                                                                                                                                         | arxiv                                                     |
| Chakraborty et al. | [Cross-Modal Safety Alignment: Is textual unlearning all you need?](https://arxiv.org/abs/2406.02575)                                                                                                                                                                 | arxiv                                                     |
| Liang et al.       | [Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning](https://arxiv.org/pdf/2403.16257v1)                                                                                                           | arxiv                                                     |
| Wu et al.          | [Erasing Undesirable Influence in Diffusion Models](https://arxiv.org/abs/2401.05779)                                                                                                                                                                                 | arxiv                                                     |
| Gao et al.         | [Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts](https://arxiv.org/abs/2410.12777)                                                                                                                                                     | arxiv                                                     |
| Huang et al.       | [Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning](https://arxiv.org/abs/2409.03326)                                                                                                               | arxiv                                                     |
| Liu et al.         | [Unlearning Concepts from Text-to-Video Diffusion Models](https://arxiv.org/abs/2407.14209)                                                                                                                                                                           | arxiv                                                     |
| Gandikota et al.   | [Erasing Conceptual Knowledge from Language Models](https://arxiv.org/abs/2410.02760)                                                                                                                                                                                 | arxiv                                                     |
| Tu et al.          | [Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective](https://arxiv.org/abs/2404.11577)                                                                                                                                        | arxiv                                                     |
| Zhuang et al.      | [UOE: Unlearning One Expert is Enough for Mixture-of-Experts LLMs](https://openreview.net/forum?id=ZClm0YbcXP)                                                                                                                                                        | arxiv                                                     |
|                    |                                                                                                                                                                                                                                                                       |
| Liu                | [Machine Unlearning in 2024](https://ai.stanford.edu/~kzliu/blog/unlearning)                                                                                                                                                                                          | Blog Post                                                 |

### 2023

| Author(s)             | Title                                                                                                                                                                                                                                             | Venue                                          |
| :-------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------- |
| Wang et al.           | [KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment](https://aclanthology.org/2023.acl-long.740/)                                                                                                                       | ACL                                            |
| Yu et al.             | [Unlearning Bias in Language Models by Partitioning Gradients](https://aclanthology.org/2023.findings-acl.375.pdf)                                                                                                                                | ACL                                            |
| Kumar et al.          | [Privacy Adhering Machine Un-learning in NLP](https://aclanthology.org/2023.findings-ijcnlp.25)                                                                                                                                                   | ACL                                            |
| Adolphs et al.        | [The CRINGE Loss: Learning what language not to model](https://aclanthology.org/2023.acl-long.493/)                                                                                                                                               | ACL                                            |
| Li et al.             | [Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data](https://aclanthology.org/2023.trustnlp-1.22/)                                                                                                                     | ACL                                            |
| Zhang et al.          | [Machine Unlearning Methodology base on Stochastic Teacher Network](https://link.springer.com/chapter/10.1007/978-3-031-46677-9_18)                                                                                                               | ADMA                                           |
| LeBlond et al.        | [Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile](https://dl.acm.org/doi/abs/10.1145/3605764.3623904)                                                                     | AISec                                          |
| Cong and Mahdavi      | [Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection](https://proceedings.mlr.press/v206/cong23a.html)                                                                                                   | AISTATS                                        |
| Wang et al.           | [BFU: Bayesian Federated Unlearning with Parameter Self-Sharing](https://dl.acm.org/doi/abs/10.1145/3579856.3590327)                                                                                                                              | Asia CCS                                       |
| Lee and Woo           | [UNDO: Effective and Accurate Unlearning Method for Deep Neural Networks](https://dl.acm.org/doi/abs/10.1145/3583780.3615235)                                                                                                                     | CIKM                                           |
| Ghazi et al.          | [Ticketed Learning-Unlearning Schemes](https://proceedings.mlr.press/v195/ghazi23a/ghazi23a.pdf)                                                                                                                                                  | COLT                                           |
| Chen et al.           | [Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary](https://openaccess.thecvf.com/content/CVPR2023/html/Chen_Boundary_Unlearning_Rapid_Forgetting_of_Deep_Networks_via_Shifting_the_CVPR_2023_paper.html) | CVPR                                           |
|Schramowski et al. | [Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models](https://openaccess.thecvf.com/content/CVPR2023/html/Schramowski_Safe_Latent_Diffusion_Mitigating_Inappropriate_Degeneration_in_Diffusion_Models_CVPR_2023_paper.html)|CVPR|
| Lin et al.            | [ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer](https://openaccess.thecvf.com/content/CVPR2023/html/Lin_ERM-KTP_Knowledge-Level_Machine_Unlearning_via_Knowledge_Transfer_CVPR_2023_paper.html)                              | CVPR                                           |
| Hagos et al.          | [Unlearning Spurious Correlations in Chest X-ray Classification](https://link.springer.com/chapter/10.1007/978-3-031-45275-8_26)                                                                                                                  | Discovery Science                              |
| Mireshghallah et al.  | [Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN](https://aclanthology.org/2023.emnlp-main.452/)                                                                                                              | EMNLP                                          |
| Kassem et al.         | [Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models](https://aclanthology.org/2023.emnlp-main.265/)                                                                          | EMNLP                                          |
| Wu et al.             | [DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models](https://aclanthology.org/2023.emnlp-main.174/)                                                                                                                        | DMNLP                                          |
| Gandikota et al.      | [Erasing Concepts from Diffusion Models](https://openaccess.thecvf.com/content/ICCV2023/papers/Gandikota_Erasing_Concepts_from_Diffusion_Models_ICCV_2023_paper.pdf)                                                                              | ICCV                                           |
| Kumari et al.         | [Ablating Concepts in Text-to-Image Diffusion Models](https://openaccess.thecvf.com/content/ICCV2023/html/Kumari_Ablating_Concepts_in_Text-to-Image_Diffusion_Models_ICCV_2023_paper.html)                                                        | ICCV                                           |
| Liu et al.            | [MUter: Machine Unlearning on Adversarially Trained Models](https://openaccess.thecvf.com/content/ICCV2023/html/Liu_MUter_Machine_Unlearning_on_Adversarially_Trained_Models_ICCV_2023_paper.html)                                                | ICCV                                           |
| Koh et al.            | [Disposable Transfer Learning for Selective Source Task Unlearning](https://openaccess.thecvf.com/content/ICCV2023/html/Koh_Disposable_Transfer_Learning_for_Selective_Source_Task_Unlearning_ICCV_2023_paper.html)                               | ICCV                                           |
| Dukler et al.         | [SAFE: Machine Unlearning With Shard Graphs](https://openaccess.thecvf.com/content/ICCV2023/html/Dukler_SAFE_Machine_Unlearning_With_Shard_Graphs_ICCV_2023_paper.html)                                                                           | ICCV                                           |
| Zheng et al.          | [Graph Unlearning Using Knowledge Distillation](https://link.springer.com/chapter/10.1007/978-981-99-7356-9_29)                                                                                                                                   | ICICS                                          |
| Cheng et al.          | [GNNDelete: A General Strategy for Unlearning in Graph Neural Networks](https://openreview.net/forum?id=X9yCkmT5Qrl)                                                                                                                              | ICLR                                           |
|Basu et al.|[Localizing and Editing Knowledge In Text-to-Image Generative Models](https://openreview.net/forum?id=Qmw9ne6SOQ)|ICLR|
| Chien et al.          | [Efficient Model Updates for Approximate Unlearning of Graph-Structured Data](https://openreview.net/forum?id=fhcu4FBLciL)                                                                                                                        | ICLR                                           |
| Ilharco et al.        | [Editing models with task arithmetic](https://openreview.net/forum?id=6t0Kwf8-jrj)                                                                                                                                                                | ICLR                                           |
| Che et al.            | [Fast Federated Machine Unlearning with Nonlinear Functional Theory](https://openreview.net/forum?id=6wQKmKiDHw)                                                                                                                                  | ICML                                           |
| Krishna et al.        | [Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten](https://proceedings.mlr.press/v202/krishna23a.html)                                                                                                    | ICML                                           |
| Liu et al.            | [Machine Unlearning with Affine Hyperplane Shifting and Maintaining for Image Classification](https://link.springer.com/chapter/10.1007/978-981-99-8178-6_17)                                                                                     | ICONIP                                         |
| Xiong et al.          | [Exact-Fun: An Exact and Efficient Federated Unlearning Approach](https://ieeexplore.ieee.org/abstract/document/10415652)                                                                                                                         | IEEE ICDM                                      |
| Su and Li             | [Asynchronous Federated Unlearning](https://ieeexplore.ieee.org/abstract/document/10229075)                                                                                                                                                       | IEEE INFOCOM                                   |
| Lin et al.            | [Machine Unlearning in Gradient Boosting Decision Trees](https://dl.acm.org/doi/10.1145/3580305.3599420)                                                                                                                                          | KDD                                            |
| Qian et al.           | [Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks](https://dl.acm.org/doi/abs/10.1145/3580305.3599526)                                                                                 | KDD                                            |
| Wu et al.             | [Certified Edge Unlearning for Graph Neural Networks](https://yue-ning.github.io/docs/kdd23-ceu.pdf)                                                                                                                                              | KDD                                            |
| Ni et al. | [Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion](https://dl.acm.org/doi/10.1145/3581783.3611867)|ACM MM|
| Li et al.             | [Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems](https://dl.acm.org/doi/abs/10.1145/3581783.3612418)                                                                                                            | MM                                             |
| Hu et al.             | [A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services](https://www.ndss-symposium.org/wp-content/uploads/2024-252-paper.pdf)                                                                          | NDSS                                           |
| Warnecke et al.       | [Machine Unlearning for Features and Labels](https://www.ndss-symposium.org/wp-content/uploads/2023/02/ndss2023_s87_paper.pdf)                                                                                                                    | NDSS                                           |
| Brack et al. | [SEGA: Instructing Text-to-Image Models using Semantic Guidance](https://proceedings.neurips.cc/paper_files/paper/2023/hash/4ff83037e8d97b2171b2d3e96cb8e677-Abstract-Conference.html)|NeurIPS|
| Chen et al.           | [Fast Model Debias with Machine Unlearning](https://proceedings.neurips.cc/paper_files/paper/2023/hash/2ecc80084c96cc25b11b0ab995c25f47-Abstract-Conference.html)                                                                                 | NeurIPS                                        |
| Kurmanji et al.       | [Towards Unbounded Machine Unlearning](https://proceedings.neurips.cc/paper_files/paper/2023/hash/062d711fb777322e2152435459e6e9d9-Abstract-Conference.html)                                                                                      | NeurIPS                                        |
| Li et al.             | [UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition](https://neurips.cc/virtual/2023/poster/72617)                                                                                                                | NeurIPS                                        |
| Liu et al.            | [Certified Minimax Unlearning with Generalization Rates and Deletion Capacity](https://neurips.cc/virtual/2023/poster/72765)                                                                                                                      | NeurIPS                                        |
| Jia et al.            | [Model Sparsification Can Simplify Machine Unlearning](https://proceedings.neurips.cc/paper_files/paper/2023/hash/a204aa68ab4e970e1ceccfb5b5cdc5e4-Abstract-Conference.html)                                                                      | NeurIPS                                        |
| Wei et al.            | [Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples](https://neurips.cc/virtual/2023/poster/69874)                                                                                                      | NeurIPS                                        |
| Di et al.             | [Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks](https://neurips.cc/virtual/2023/poster/72092)                                                                                                                           | NeurIPS                                        |
| Heng et al.           | [Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models](https://proceedings.neurips.cc/paper_files/paper/2023/hash/376276a95781fa17c177b1ccdd0a03ac-Abstract-Conference.html)                                  | NeurIPS                                        |
|Wang et al. | [Concept Algebra for (Score-Based) Text-Controlled Generative Models](https://openreview.net/forum?id=SGlrCuwdsB)|NeurIPS|
| Zhao et al.           | [Static and Sequential Malicious Attacks in the Context of Selective Forgetting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/ed4bacc8c7ca1ee0e1d4e0ef376b7ac7-Abstract-Conference.html)                                            | NeurIPS                                        |
| Belrose et al.        | [LEACE: Perfect linear concept erasure in closed form](https://proceedings.neurips.cc/paper_files/paper/2023/hash/d066d21c619d0a78c5b557fa3291a8f4-Abstract-Conference.html)                                                                      | NeurIPS                                        |
| Zhang et al.          | [Composing Parameter-Efficient Modules with Arithmetic Operation](https://proceedings.neurips.cc/paper_files/paper/2023/hash/299a08ee712d4752c890938da99a77c6-Abstract-Conference.html)                                                           | NeurIPS                                        |
| Leysen                | [Exploring Unlearning Methods to Ensure the Privacy, Security, and Usability of Recommender Systems](https://dl.acm.org/doi/abs/10.1145/3604915.3608862)                                                                                          | RecSys                                         |
| Koch and Soll         | [No Matter How You Slice It: Machine Unlearning with SISA Comes at the Expense of Minority Classes](https://openreview.net/forum?id=RBX1H-SGdT)                                                                                                   | SaTML                                          |
| Schelter et al.       | [Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation](https://ssc.io/pdf/caboose.pdf)                                                                                                                                   | SIGIR                                          |
| Kurmanji et al.       | [Machine Unlearning in Learned Databases: An Experimental Analysis](https://dl.acm.org/doi/abs/10.1145/3639304)                                                                                                                                   | SIGMOD                                         |
| Wu et al.             | [DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning](https://dl.acm.org/doi/abs/10.1145/3589313)                                                                                                                      | SIGMOD                                         |
| Wang et al.           | [Inductive Graph Unlearning](https://arxiv.org/abs/2304.03093)                                                                                                                                                                                    | USENIX Security                                |
| Xia et al.            | [Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets](https://www.vldb.org/pvldb/vol16/p3349-liu.pdf)                                                                                                                       | VLDB                                           |
| Sun et al.            | [Lazy Machine Unlearning Strategy for Random Forests](https://link.springer.com/chapter/10.1007/978-981-99-6222-8_32)                                                                                                                             | WISA                                           |
| Pan et al.            | [Unlearning Graph Classifiers with Limited Data Resources](https://dl.acm.org/doi/10.1145/3543507.3583547)                                                                                                                                        | WWW                                            |
| Wu et al.             | [GIF: A General Graph Unlearning Strategy via Influence Function](https://dl.acm.org/doi/abs/10.1145/3543507.3583521)                                                                                                                             | WWW                                            |
| Zhu et al.            | [Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning](https://dl.acm.org/doi/abs/10.1145/3543507.3583305)                                                                                                                   | WWW                                            |
|                       |                                                                                                                                                                                                                                                   |
| Ye and Lu             | [Sequence Unlearning for Sequential Recommender Systems](https://link.springer.com/chapter/10.1007/978-981-99-8388-9_33)                                                                                                                          | AI                                             |
| Chen et al.           | [Privacy preserving machine unlearning for smart cities](https://link.springer.com/article/10.1007/s12243-023-00960-z)                                                                                                                            | Annals of Telemcommunications                  |
| Zhang et al.          | [Machine Unlearning by Reversing the Continual Learning](https://www.mdpi.com/2076-3417/13/16/9341)                                                                                                                                               | Applied Sciences                               |
| Sai et al.            | [Machine Un-learning: An Overview of Techniques, Applications, and Future Directions](https://link.springer.com/article/10.1007/s12559-023-10219-3)                                                                                               | Cognitive Computation                          |
| Tang et al.           | [Ensuring User Privacy and Model Security via Machine Unlearning: A Review](https://cdn.techscience.cn/files/cmc/2023/TSP_CMC-77-2/TSP_CMC_32307/TSP_CMC_32307.pdf)                                                                               | Computers, Materials, and Continua             |
| Deng et al.           | [Vertical Federated Unlearning on the Logistic Regression Model](https://www.mdpi.com/2079-9292/12/14/3182)                                                                                                                                       | Electronics                                    |
| Zhou et al.           | [A unified method to revoke the private data of patients in intelligent healthcare with audit to forget](https://europepmc.org/article/MED/37802981)                                                                                              | Europe PMC                                     |
| Li et al.             | [Selective and Collaborative Influence Function for Efficient Recommendation Unlearning](https://www.sciencedirect.com/science/article/abs/pii/S0957417423015270)                                                                                 | Expert Systems with Applications               |
| Zeng at al.           | [Towards Highly-efficient and Accurate Services QoS Prediction via Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/10171348)                                                                                                    | IEEE Access                                    |
| Zhao et al.           | [Federated Unlearning With Momentum Degradation](https://ieeexplore.ieee.org/abstract/document/10269017)                                                                                                                                          | IEEE IOT Journal                               |
| Xia et al.            | [FedME2: Memory Evaluation & Erase Promoting Federated Unlearning in DTMN](https://ieeexplore.ieee.org/abstract/document/10234397)                                                                                                                | IEEE Selected Areas in Communications          |
| Zhang et al.          | [Poison Neural Network-Based mmWave Beam Selection and Detoxification With Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/10002349)                                                                                            | IEEE Trans. on Comm.                           |
| Chundawat et al.      | [Zero-Shot Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/10097553)                                                                                                                                                            | IEEE Trans. Info. Forensics and Security       |
| Wang et al.           | [Machine Unlearning via Representation Forgetting with Parameter Self-Sharing](https://ieeexplore.ieee.org/abstract/document/10312776)                                                                                                            | IEEE Trans. Info. Forensics and Security       |
| Guo et al.            | [Verifying in the Dark: Verifiable Machine Unlearning by Using Invisible Backdoor Triggers](https://ieeexplore.ieee.org/abstract/document/10298847)                                                                                               | IEEE Trans. Info. Forensics and Security       |
| Zhang et al.          | [FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks](https://ieeexplore.ieee.org/abstract/document/10189868)                                                                                                | IEEE Trans. Info. Forensics and Security       |
| Guo et al.            | [FAST: Adopting Federated Unlearning to Eliminating Malicious Terminals at Server Side](https://ieeexplore.ieee.org/abstract/document/10360312)                                                                                                   | IEEE Trans. Network Science and Engineering    |
| Tarun et al.          | [Fast Yet Effective Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/10113700)                                                                                                                                                   | IEEE Trans. Neural Net. and Learn. Systems     |
| Tang et al.           | [Fuzzy rough unlearning model for feature selection](https://www.sciencedirect.com/science/article/abs/pii/S0888613X23002335)                                                                                                                     | International Journal of Approximate Reasoning |
| Zhu et al.            | [Hierarchical Machine Unlearning](https://dl.acm.org/doi/10.1007/978-3-031-44505-7_7)                                                                                                                                                             | Learning and Intelligent Optimization          |
| Floridi               | [Machine Unlearning: its nature, scope, and importance for a “delete culture”](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4455976)                                                                                                       | Philosophy & Technology                        |
| Zhang et al.          | [A Review on Machine Unlearning](https://link.springer.com/article/10.1007/s42979-023-01767-4)                                                                                                                                                    | SN Computer Science                            |
|                       |                                                                                                                                                                                                                                                   |
| Oesterling et al.     | [Fair Machine Unlearning: Data Removal while Mitigating Disparities](https://proceedings.mlr.press/v238/oesterling24a.html)                                                                                                                       | DMLR Workshop                                  |
| Llamas et al.         | [Effective Machine Learning-based Access Control Administration through Unlearning](https://ieeexplore.ieee.org/abstract/document/10190682)                                                                                                       | EuroS&PW                                       |
| Bae et al.            | [Gradient Surgery for One-shot Unlearning on Generative Model](https://arxiv.org/abs/2307.04550)                                                                                                                                                  | Generative AI & LAW Workshop                   |
| Borkar et al.         | [What can we learn from Data Leakage and Unlearning for Law?](https://arxiv.org/abs/2307.10476)                                                                                                                                                   | ICML Workshop                                  |
|Kim et al. | [Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models](https://openreview.net/forum?id=6zALFeqxY0)|ICML Workshop|
| Kadhe et al.          | [FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs](https://openreview.net/forum?id=vRPnLsWQNh)                                                                                                                        | NeurIPS Workshop                               |
| Li et al.             | [Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data](https://aclanthology.org/2023.trustnlp-1.22/)                                                                                                                     | TrustNLP Workshop                              |
|                       |                                                                                                                                                                                                                                                   |
| Abbasi et al.         | [CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation](https://arxiv.org/abs/2311.12999)                                                                                                                                    | arXiv                                          |
| Cotogni et al.        | [DUCK: Distance-based Unlearning via Centroid Kinematics](https://arxiv.org/abs/2312.02052)                                                                                                                                                       | arXiv                                          |
| Dhasade et al.        | [QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation](https://arxiv.org/abs/2311.15603)                                                                                                                                  | arXiv                                          |
| Huang et al.          | [Tight Bounds for Machine Unlearning via Differential Privacy](https://arxiv.org/abs/2309.00886)                                                                                                                                                  | arXiv                                          |
| Jin et al.            | [Forgettable Federated Linear Learning with Certified Data Removal](https://arxiv.org/abs/2306.02216)                                                                                                                                             | arXiv                                          |
| Kodge et al.          | [Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting](https://arxiv.org/abs/2312.00761)                                                                                                                           | arXiv                                          |
| Li and Ghosh          | [Random Relabeling for Efficient Machine Unlearning](https://arxiv.org/abs/2305.12320)                                                                                                                                                            | arXiv                                          |
| Li et al.             | [Subspace based Federated Unlearning](https://arxiv.org/abs/2302.12448)                                                                                                                                                                           | arXiv                                          |
| Liu et al.            | [Recommendation Unlearning via Matrix Correction](https://arxiv.org/abs/2307.15960)                                                                                                                                                               | arXiv                                          |
| Qu et al.             | [Learn to Unlearn: A Survey on Machine Unlearning](https://arxiv.org/abs/2305.07512)                                                                                                                                                              | arXiv                                          |
| Ramachandra and Sethi | [Machine Unlearning for Causal Inference](https://arxiv.org/abs/2308.13559)                                                                                                                                                                       | arXiv                                          |
| Shah et al.           | [Unlearning via Sparse Representations](https://openreview.net/forum?id=TLBPjECC5D)                                                                                                                                                               | arXiv                                          |
| Si et al.             | [Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges](https://arxiv.org/abs/2311.15766)                                                                                                                                                 | arXiv                                          |
| Sinha et al.          | [Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation](https://arxiv.org/abs/2309.16173)                                                                                                                                   | arXiv                                          |
| Tan et al.            | [Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search](https://arxiv.org/abs/2304.02350)                                                                                                          | arXiv                                          |
| Xu et al.             | [Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations](https://arxiv.org/abs/2302.06676)                                                                                                                     | arXiv                                          |
| Patil et al.          | [Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks](https://arxiv.org/abs/2309.17410)                                                                                                           | arxiv                                          |
| Jahanian et al.       | [Protecting the Neural Networks against FGSM Attack Using Machine Unlearning](https://www.researchsquare.com/article/rs-3239986/v1)                                                                                                               | Research Square                                |
| Dai et al.            | [Training Data Attribution for Diffusion Models](https://arxiv.org/abs/2306.02174)                                                                                                                                                                | arxiv                                          |
|                       |                                                                                                                                                                                                                                                   |
| Fan                   | [Machine learning and unlearning for IoT anomaly detection](http://dspace.library.uvic.ca/handle/1828/14962)                                                                                                                                      | Thesis                                         |
| Casper                | [Deep Forgetting & Unlearning for Safely-Scoped LLMs](https://www.alignmentforum.org/posts/mFAvspg4sXkrfZ7FA/deep-forgetting-and-unlearning-for-safely-scoped-llms)                                                                               | Blog Post                                      |

### 2022

| Author(s)                    | Title                                                                                                                                                                                                                 | Venue                                     |
| :--------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------- |
| Chundawat et al.             | [Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher](https://arxiv.org/abs/2205.08096)                                                                                      | AAAI                                      |
| Marchant et al.              | [Hard to Forget: Poisoning Attacks on Certified Machine Unlearning](https://ojs.aaai.org/index.php/AAAI/article/view/20736)                                                                                           | AAAI                                      |
| Wu et al.                    | [PUMA: Performance Unchanged Model Augmentation for Training Data Removal](https://cdn.aaai.org/ojs/20846/20846-13-24859-1-2-20220628.pdf)                                                                            | AAAI                                      |
| Dai et al.                   | [Knowledge Neurons in Pretrained Transformers](https://aclanthology.org/anthology-files/anthology-files/queue/pdf/acl/2022.acl-long.581.pdf)                                                                          | ACL                                       |
| Chen et al.                  | [Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning](https://proceedings.mlr.press/v151/chen22h.html)                                                   | AISTATS                                   |
| Nguyen et al.                | [Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten](https://dl.acm.org/doi/abs/10.1145/3488932.3517406)                                                                        | ASIA CCS                                  |
| Qian et al.                  | [Patient Similarity Learning with Selective Forgetting](https://www.computer.org/csdl/proceedings-article/bibm/2022/09995016/1JC3byZ284E)                                                                             | BIBM                                      |
| Chen et al.                  | [Graph Unlearning](https://dl.acm.org/doi/abs/10.1145/3548606.3559352)                                                                                                                                                | CCS                                       |
| Liu et al.                   | [Continual Learning and Private Unlearning](https://proceedings.mlr.press/v199/liu22a.html)                                                                                                                           | CoLLAs                                    |
| Mehta et al.                 | [Deep Unlearning via Randomized Conditionally Independent Hessians](https://openaccess.thecvf.com/content/CVPR2022/html/Mehta_Deep_Unlearning_via_Randomized_Conditionally_Independent_Hessians_CVPR_2022_paper.html) | CVPR                                      |
| Cao et al.                   | [Machine Unlearning Method Based On Projection Residual](https://ieeexplore.ieee.org/abstract/document/10032413/)                                                                                                     | DSAA                                      |
| Ye et al.                    | [Learning with Recoverable Forgetting](https://link.springer.com/chapter/10.1007/978-3-031-20083-0_6)                                                                                                                 | ECCV                                      |
| Thudi et al.                 | [Unrolling SGD: Understanding Factors Influencing Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/9797378)                                                                                          | EuroS&P                                   |
| Becker and Liebig            | [Certified Data Removal in Sum-Product Networks](https://ieeexplore.ieee.org/abstract/document/10030058/)                                                                                                             | ICKG                                      |
| Fu et al.                    | [Knowledge Removal in Sampling-based Bayesian Inference](https://openreview.net/forum?id=dTqOcTUOQO)                                                                                                                  | ICLR                                      |
| Bevan and Atapour-Abarghouei | [Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification](https://proceedings.mlr.press/v162/bevan22a.html)                                                                 | ICML                                      |
| Tarun et al.                 | [Deep Regression Unlearning](https://arxiv.org/abs/2210.08196)                                                                                                                                                        | ICML                                      |
| Hu et al.                    | [Membership Inference via Backdooring](https://www.ijcai.org/proceedings/2022/0532.pdf)                                                                                                                               | IJCAI                                     |
| Yan et al.                   | [ARCANE: An Efficient Architecture for Exact Machine Unlearning](https://www.ijcai.org/proceedings/2022/0556.pdf)                                                                                                     | IJCAI                                     |
| Liu et al.                   | [The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining](https://ieeexplore.ieee.org/abstract/document/9796721)                                                              | INFOCOM                                   |
| Liu et al.                   | [Backdoor Defense with Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/9796974)                                                                                                                     | INFOCOM                                   |
| Jiang et al.                 | [Machine Unlearning Survey](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12500/125006J/Machine-unlearning-survey/10.1117/12.2660330.short?SSO=1)                                                 | MCTE                                      |
| Zhang et al.                 | [Machine Unlearning for Image Retrieval: A Generative Scrubbing Approach](https://dl.acm.org/doi/abs/10.1145/3503161.3548378)                                                                                         | MM                                        |
| Tanno et al.                 | [Repairing Neural Networks by Leaving the Right Past Behind](https://openreview.net/forum?id=XiwkvDTU10Y)                                                                                                             | NeurIPS                                   |
| Meng et al.                  | [Locating and Editing Factual Associations in GPT](https://proceedings.neurips.cc/paper_files/paper/2022/hash/6f1d43d5a82a37e89b0665b33bf3a182-Abstract-Conference.html)                                              | NeurIPS                                   |
| Zhang et al.                 | [Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization](https://proceedings.neurips.cc/paper_files/paper/2022/file/5771d9f214b75be6ff20f63bba315644-Paper-Conference.pdf)           | NeurIPS                                   |
| Gao et al.                   | [Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning](https://crysp.petsymposium.org/popets/2022/popets-2022-0079.pdf)                                                                         | PETS                                      |
| Sommer et al.                | [Athena: Probabilistic Verification of Machine Unlearning](https://petsymposium.org/popets/2022/popets-2022-0072.pdf)                                                                                                 | PoPETs                                    |
| Lu et al.                    | [FP2-MIA: A Membership Inference Attack Free of Posterior Probability in Machine Unlearning](https://link.springer.com/chapter/10.1007/978-3-031-20917-8_12)                                                          | ProvSec                                   |
| Cao et al.                   | [FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information](https://ieeexplore.ieee.org/abstract/document/10179336/)                                                           | S&P                                       |
| Ganhor et al.                | [Unlearning Protected User Attributes in Recommendations with Adversarial Training](https://dl.acm.org/doi/abs/10.1145/3477495.3531820)                                                                               | SIGIR                                     |
| Chen et al.                  | [Recommendation Unlearning](https://dl.acm.org/doi/abs/10.1145/3485447.3511997)                                                                                                                                       | TheWebConf                                |
| Zhou et al.                  | [Dynamically Selected Mixup Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/10063433)                                                                                                               | TrustCom                                  |
| Thudi et al.                 | [On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning](https://www.usenix.org/conference/usenixsecurity22/presentation/thudi)                                                                 | USENIX Security                           |
| Wang et al.                  | [Federated Unlearning via Class-Discriminative Pruning](https://dl.acm.org/doi/abs/10.1145/3485447.3512222)                                                                                                           | WWW                                       |
|                              |                                                                                                                                                                                                                       |
| Fan et al.                   | [Fast Model Update for IoT Traffic Anomaly Detection with Machine Unlearning](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9927728)                                                                           | IEEE IoT-J                                |
| Wu et al.                    | [Federated Unlearning: Guarantee the Right of Clients to Forget](https://ieeexplore.ieee.org/abstract/document/9964015)                                                                                               | IEEE Network                              |
| Ma et al.                    | [Learn to Forget: Machine Unlearning Via Neuron Masking](https://ieeexplore.ieee.org/abstract/document/9844865)                                                                                                       | IEEE Trans. Dep. Secure Comp.             |
| Lu et al.                    | [Label-only membership inference attacks on machine unlearning without dependence of posteriors](https://onlinelibrary.wiley.com/doi/abs/10.1002/int.23000)                                                           | Int. J. Intel. Systems                    |
| Meng et al.                  | [Active forgetting via influence estimation for neural networks](https://onlinelibrary.wiley.com/doi/abs/10.1002/int.22981)                                                                                           | Int. J. Intel. Systems                    |
| Baumhauer et al.             | [Machine Unlearning: Linear Filtration for Logit-based Classifiers](https://link.springer.com/article/10.1007/s10994-022-06178-9)                                                                                     | Machine Learning                          |
| Mahadaven and Mathiodakis    | [Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study](https://www.mdpi.com/2504-4990/4/3/28)                                                                                              | Machine Learning and Knowledge Extraction |
|                              |                                                                                                                                                                                                                       |
| Kong et al.                  | [Forgeability and Membership Inference Attacks](https://dl.acm.org/doi/abs/10.1145/3560830.3563731)                                                                                                                   | AISec Workshop                            |
| Kim and Woo                  | [Efficient Two-Stage Model Retraining for Machine Unlearning](https://openaccess.thecvf.com/content/CVPR2022W/HCIS/html/Kim_Efficient_Two-Stage_Model_Retraining_for_Machine_Unlearning_CVPRW_2022_paper.html)        | CVPR Workshop                             |
| Gong et al.                  | [Forget-SVGD: Particle-Based Bayesian Federated Unlearning](https://ieeexplore.ieee.org/abstract/document/9820602)                                                                                                    | DSL Workshop                              |
| Chien et al.                 | [Certified Graph Unlearning](https://arxiv.org/abs/2206.09140)                                                                                                                                                        | GLFrontiers Workshop                      |
| Raunak and Menezes           | [Rank-One Editing of Encoder-Decoder Models](https://arxiv.org/abs/2211.13317)                                                                                                                                        | InterNLP Workshop                         |
| Lycklama et al.              | [Cryptographic Auditing for Collaborative Learning](https://pps-lab.com/papers/camel_mlsafety.pdf)                                                                                                                    | ML Safety Workshop                        |
| Kong and Chaudhuri           | [Data Redaction from Pre-trained GANs](https://openreview.net/forum?id=V7TaczasnAk)                                                                                                                                   | TSRML Workshop                            |
| Halimi et al.                | [Federated Unlearning: How to Efficiently Erase a Client in FL?](https://arxiv.org/abs/2207.05521)                                                                                                                    | UpML Workshop                             |
| Rawat et al.                 | [Challenges and Pitfalls of Bayesian Unlearning](https://arxiv.org/abs/2207.03227)                                                                                                                                    | UpML Workshop                             |
|                              |                                                                                                                                                                                                                       |
| Becker and Liebig            | [Evaluating Machine Unlearning via Epistemic Uncertainty](https://arxiv.org/abs/2208.10836)                                                                                                                           | arXiv                                     |
| Carlini et al.               | [The Privacy Onion Effect: Memorization is Relative](https://arxiv.org/abs/2206.10469)                                                                                                                                | arXiv                                     |
| Chilkuri et al.              | [Debugging using Orthogonal Gradient Descent](https://arxiv.org/abs/2206.08489)                                                                                                                                       | arXiv                                     |
| Chourasia et al.             | [Forget Unlearning: Towards True Data-Deletion in Machine Learning](https://arxiv.org/abs/2210.08911)                                                                                                                 | arXiv                                     |
| Cohen et al.                 | [Control, Confidentiality, and the Right to be Forgotten](https://arxiv.org/abs/2210.07876)                                                                                                                           | arXiv                                     |
| Eisenhofer et al.            | [Verifiable and Provably Secure Machine Unlearning](https://arxiv.org/abs/2210.09126)                                                                                                                                 | arXiv                                     |
| Fraboni et al.               | [Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization](https://arxiv.org/abs/2211.11656)                                                                      | arXiv                                     |
| Gao et al.                   | [VeriFi: Towards Verifiable Federated Unlearning](https://arxiv.org/abs/2205.12709)                                                                                                                                   | arXiv                                     |
| Goel et al.                  | [Evaluating Inexact Unlearning Requires Revisiting Forgetting](https://arxiv.org/abs/2201.06640)                                                                                                                      | arXiv                                     |
| Guo et al.                   | [Vertical Machine Unlearning: Selectively Removing Sensitive Information From Latent Feature Space](https://arxiv.org/abs/2202.13295)                                                                                 | arXiv                                     |
| Guo et al.                   | [Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations](https://arxiv.org/abs/2202.13295)                                                                        | arXiv                                     |
| Jang et al.                  | [Knowledge Unlearning for Mitigating Privacy Risks in Language Models](https://arxiv.org/abs/2210.01504)                                                                                                              | arXiv                                     |
| Liu et al.                   | [Forgetting Fast in Recommender Systems](https://arxiv.org/abs/2208.06875)                                                                                                                                            | arXiv                                     |
| Liu et al.                   | [Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning](https://arxiv.org/abs/2212.03334)                                                                        | arXiv                                     |
| Lu et al.                    | [Quark: Controllable Text Generation with Reinforced Unlearning](https://arxiv.org/abs/2205.13636)                                                                                                                    | arXiv                                     |
| Malnick et al.               | [Taming a Generative Model](https://arxiv.org/abs/2211.16488)                                                                                                                                                         | arXiv                                     |
| Mercuri et al.               | [An Introduction to Machine Unlearning](https://arxiv.org/abs/2209.00939)                                                                                                                                             | arXiv                                     |
| Mireshghallah et al.         | [Non-Parametric Temporal Adaptation for Social Media Topic Classification](https://arxiv.org/abs/2209.05706)                                                                                                          | arXiv                                     |
| Nguyen et al.                | [A Survey of Machine Unlearning](https://arxiv.org/abs/2209.02299)                                                                                                                                                    | arXiv                                     |
| Pan et al.                   | [Unlearning Nonlinear Graph Classifiers in the Limited Training Data Regime](https://arxiv.org/abs/2211.03216)                                                                                                        | arXiv                                     |
| Pan et al.                   | [Machine Unlearning of Federated Clusters](https://arxiv.org/abs/2210.16424)                                                                                                                                          | arXiv                                     |
| Said et al.                  | [A Survey of Graph Unlearning](https://arxiv.org/abs/2310.02164)                                                                                                                                                      | arXiv                                     |
| Weng et al.                  | [Proof of Unlearning: Definitions and Instantiation](https://arxiv.org/abs/2210.11334)                                                                                                                                | arXiv                                     |
| Wu et al.                    | [Federated Unlearning with Knowledge Distillation](https://arxiv.org/abs/2201.09441)                                                                                                                                  | arXiv                                     |
| Yu et al.                    | [LegoNet: A Fast and Exact Unlearning Architecture](https://arxiv.org/abs/2210.16023)                                                                                                                                 | arXiv                                     |
| Yoon et al.                  | [Few-Shot Unlearning by Model Inversion](https://arxiv.org/abs/2205.15567)                                                                                                                                            | arXiv                                     |
| Yuan et al.                  | [Federated Unlearning for On-Device Recommendation](https://arxiv.org/abs/2210.10958)                                                                                                                                 | arXiv                                     |
| Zhu et al.                   | [Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models](https://arxiv.org/abs/2212.04687)                                                      | arXiv                                     |
| Cong and Mahdavi             | [Privacy Matters! Efficient Graph Representation Unlearning with Data Removal Guarantee](https://congweilin.github.io/CongWeilin.io/files/Projector.pdf)                                                              | Report                                    |
| Cong and Mahdavi             | [GraphEditor: An Efficient Graph Representation Learning and Unlearning Approach](https://congweilin.github.io/CongWeilin.io/files/GraphEditor.pdf)                                                                   | Report                                    |
| Wu et al.                    | [Provenance-based Model Maintenance: Implications for Privacy](http://sites.computer.org/debull/A22mar/p37.pdf)                                                                                                       | Report                                    |

### 2021

| Author(s)                  | Title                                                                                                                                                                    | Venue                         |
| :------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------------------------- |
| Graves et al.              | [Amnesiac Machine Learning](https://ojs.aaai.org/index.php/AAAI/article/view/17371)                                                                                      | AAAI                          |
| Yu et al.                  | [How Does Data Augmentation Affect Privacy in Machine Learning?](https://ojs.aaai.org/index.php/AAAI/article/view/17284)                                                 | AAAI                          |
| Liu et al.                 | [DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts](https://aclanthology.org/2021.acl-long.522/)                                          | ACL                           |
| Izzo et al.                | [Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations](https://proceedings.mlr.press/v130/izzo21a.html)                                    | AISTATS                       |
| Li et al.                  | [Online Forgetting Process for Linear Regression Models](https://proceedings.mlr.press/v130/li21a.html)                                                                  | AISTATS                       |
| Neel et al.                | [Descent-to-Delete: Gradient-Based Methods for Machine Unlearning](http://proceedings.mlr.press/v132/neel21a.html)                                                       | ALT                           |
| Chen et al.                | [REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data](https://dl.acm.org/doi/abs/10.1145/3433210.3453079)                           | ASIA CCS                      |
| Chen et al.                | [When Machine Unlearning Jeopardizes Privacy](https://dl.acm.org/doi/abs/10.1145/3460120.3484756)                                                                        | CCS                           |
| Ullah et al.               | [Machine Unlearning via Algorithmic Stability](http://proceedings.mlr.press/v134/ullah21a.html)                                                                          | COLT                          |
| Golatkar et al.            | [Mixed-Privacy Forgetting in Deep Networks](https://openaccess.thecvf.com/content/CVPR2021/html/Golatkar_Mixed-Privacy_Forgetting_in_Deep_Networks_CVPR_2021_paper.html) | CVPR                          |
| Dang et al.                | [Right to Be Forgotten in the Age of Machine Learning](https://link.springer.com/chapter/10.1007/978-3-030-71782-7_35)                                                   | ICADS                         |
| Brophy and Lowd            | [Machine Unlearning for Random Forests](http://proceedings.mlr.press/v139/brophy21a.html)                                                                                | ICML                          |
| Huang et al.               | [Unlearnable Examples: Making Personal Data Unexploitable](https://openreview.net/forum?id=iAmZUo0DxC0)                                                                  | ICLR                          |
| Goyal et al.               | [Revisiting Machine Learning Training Process for Enhanced Data Privacy](https://dl.acm.org/doi/10.1145/3474124.3474208)                                                 | IC3                           |
| Tahiliani et al.           | [Machine Unlearning: Its Need and Implementation Strategies](https://dl.acm.org/doi/abs/10.1145/3474124.3474158)                                                         | IC3                           |
| Dam et al.                 | [Delete My Account: Impact of Data Deletion on Machine Learning Classifiers](https://ieeexplore.ieee.org/abstract/document/10833891)                                     | ICSSA                         |
| Shibata et al.             | [Learning with Selective Forgetting](https://www.ijcai.org/proceedings/2021/0137.pdf)                                                                                    | IJCAI                         |
| Liu et al.                 | [Federated Unlearning](https://arxiv.org/abs/2012.13891)                                                                                                                 | IWQoS                         |
| Huang et al.               | [EMA: Auditing Data Removal from Trained Models](https://link.springer.com/chapter/10.1007/978-3-030-87240-3_76)                                                         | MICCAI                        |
| Gupta et al.               | [Adaptive Machine Unlearning](https://proceedings.neurips.cc/paper/2021/hash/87f7ee4fdb57bdfd52179947211b7ebb-Abstract.html)                                             | NeurIPS                       |
| Khan and Swaroop           | [Knowledge-Adaptation Priors](https://proceedings.neurips.cc/paper/2021/hash/a4380923dd651c195b1631af7c829187-Abstract.html)                                             | NeurIPS                       |
| Sekhari et al.             | [Remember What You Want to Forget: Algorithms for Machine Unlearning](https://proceedings.neurips.cc/paper/2021/hash/9627c45df543c816a3ddf2d8ea686a99-Abstract.html)     | NeurIPS                       |
| Liu et al.                 | [FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models](https://ieeexplore.ieee.org/abstract/document/9521274)                          | IWQoS                         |
| Bourtoule et al.           | [Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/9519428)                                                                                              | S&P                           |
| Schelter et al.            | [HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning](https://ssc.io/pdf/rdm235.pdf)                                                               | SIGMOD                        |
| Gong et al.                | [Bayesian Variational Federated Learning and Unlearning in Decentralized Networks](https://ieeexplore.ieee.org/abstract/document/9593225)                                | SPAWC                         |
|                            |                                                                                                                                                                          |
| Aldaghri et al.            | [Coded Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/9458237)                                                                                        | IEEE Access                   |
| Liu et al.                 | [RevFRF: Enabling Cross-domain Random Forest Training with Revocable Federated Learning](https://ieeexplore.ieee.org/abstract/document/9514457)                          | IEEE Trans. Dep. Secure Comp. |
|                            |                                                                                                                                                                          |
| Wang and Schelter          | [Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items](https://arxiv.org/abs/2201.13313)                               | ORSUM Workshop                |
| Jose and Simeone           | [A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization](https://ieeexplore.ieee.org/abstract/document/9596170)                       | MLSP Workshop                 |
| Peste et al.               | [SSSE: Efficiently Erasing Samples from Trained Machine Learning Models](https://openreview.net/forum?id=GRMKEx3kEo)                                                     | PRIML Workshop                |
|                            |                                                                                                                                                                          |
| Chen et al.                | [Machine unlearning via GAN](https://arxiv.org/abs/2111.11869)                                                                                                           | arXiv                         |
| He et al.                  | [DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks](https://arxiv.org/abs/2105.06209)                                             | arXiv                         |
| Madahaven and Mathioudakis | [Certifiable Machine Unlearning for Linear Models](https://arxiv.org/abs/2106.15093)                                                                                     | arXiv                         |
| Parne et al.               | [Machine Unlearning: Learning, Polluting, and Unlearning for Spam Email](https://arxiv.org/abs/2111.14609)                                                               | arXiv                         |
| Thudi et al.               | [Bounding Membership Inference](https://arxiv.org/abs/2202.12232)                                                                                                        | arXiv                         |
| Zeng et al.                | [ModelPred: A Framework for Predicting Trained Model from Training Data](https://arxiv.org/abs/2111.12545)                                                               | arXiv                         |

### 2020

| Author(s)       | Title                                                                                                                                                                                                                                                                                                                                        | Venue        |
| :-------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------ |
| Tople te al.    | [Analyzing Information Leakage of Updates to Natural Language Models](https://dl.acm.org/doi/abs/10.1145/3372297.3417880)                                                                                                                                                                                                                    | CCS          |
| Golatkar et al. | [Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks](https://openaccess.thecvf.com/content_CVPR_2020/html/Golatkar_Eternal_Sunshine_of_the_Spotless_Net_Selective_Forgetting_in_Deep_CVPR_2020_paper.html)                                                                                                          | CVPR         |
| Golatkar et al. | [Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations](https://openreview.net/forum?id=YtK037uBtWt)                                                                                                                                                                                  | ECCV         |
| Garg et al.     | [Formalizing Data Deletion in the Context of the Right to be Forgotten](https://link.springer.com/chapter/10.1007/978-3-030-45724-2_13)                                                                                                                                                                                                      | EUROCRYPT    |
| Guo et al.      | [Certified Data Removal from Machine Learning Models](https://dl.acm.org/doi/abs/10.5555/3524938.3525297)                                                                                                                                                                                                                                    | ICML         |
| Wu et al.       | [DeltaGrad: Rapid Retraining of Machine Learning Models](https://icml.cc/virtual/2020/poster/5915)                                                                                                                                                                                                                                           | ICML         |
| Nguyen et al.   | [Variational Bayesian Unlearning](https://proceedings.neurips.cc/paper/2020/hash/b8a6550662b363eb34145965d64d0cfb-Abstract.html)                                                                                                                                                                                                             | NeurIPS      |
|                 |                                                                                                                                                                                                                                                                                                                                              |
| Liu et al.      | [Learn to Forget: User-Level Memorization Elimination in Federated Learning](https://www.researchgate.net/profile/Ximeng-Liu-5/publication/340134612_Learn_to_Forget_User-Level_Memorization_Elimination_in_Federated_Learning/links/5e849e64a6fdcca789e5f955/Learn-to-Forget-User-Level-Memorization-Elimination-in-Federated-Learning.pdf) | researchgate |
| Felps et al.    | [Class Clown: Data Redaction in Machine Unlearning at Enterprise Scale](https://arxiv.org/abs/2012.04699)                                                                                                                                                                                                                                    | arXiv        |
| Sommer et al.   | [Towards Probabilistic Verification of Machine Unlearning](https://arxiv.org/abs/2003.04247)                                                                                                                                                                                                                                                 | arXiv        |

### 2019

| Author(s)      | Title                                                                                                                                                                                                                  | Venue         |
| :------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------- |
| Shintre et al. | [Making Machine Learning Forget](https://link.springer.com/chapter/10.1007/978-3-030-21752-5_6)                                                                                                                        | APF           |
| Du et al.      | [Lifelong Anomaly Detection Through Unlearning](https://dl.acm.org/doi/abs/10.1145/3319535.3363226)                                                                                                                    | CCS           |
| Kim et al.     | [Learning Not to Learn: Training Deep Neural Networks With Biased Data](https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Learning_Not_to_Learn_Training_Deep_Neural_Networks_With_Biased_CVPR_2019_paper.html) | CVPR          |
| Ginart et al.  | [Making AI Forget You: Data Deletion in Machine Learning](http://papers.nips.cc/paper/8611-making-ai-forget-you-data-deletion-in-machine-learning)                                                                     | NeurIPS       |
| Wang et al.    | [Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks](https://people.cs.vt.edu/vbimal/publications/backdoor-sp19.pdf)                                                                       | S&P           |
|                |                                                                                                                                                                                                                        |
| Schelter       | [“Amnesia” – Towards Machine Learning Models That Can Forget User Data Very Fast](http://cidrdb.org/cidr2020/papers/p32-schelter-cidr20.pdf)                                                                           | AIDB Workshop |

### 2018

### 2017

| Author(s)     | Title                                                                                                                                             | Venue  |
| :------------ | ------------------------------------------------------------------------------------------------------------------------------------------------- | ------ |
| Shokri et al. | [Membership Inference Attacks Against Machine Learning Models](https://ieeexplore.ieee.org/abstract/document/7958568)                             | S&P    |
| Kwak et al.   | [Let Machines Unlearn--Machine Unlearning and the Right to be Forgotten](https://aisel.aisnet.org/amcis2017/InformationSystems/Presentations/14/) | SIGSEC |

### Before 2017

| Author(s)               | Title                                                                                                                                                                                 | Venue        |
| :---------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------ |
| Ganin et al.            | [Domain-Adversarial Training of Neural Networks](https://www.jmlr.org/papers/volume17/15-239/15-239.pdf)                                                                              | JMLR 2016    |
| Cao and Yang            | [Towards Making Systems Forget with Machine Unlearning](https://ieeexplore.ieee.org/abstract/document/7163042)                                                                        | S&P 2015     |
| Tsai et al.             | [Incremental and decremental training for linear classification](https://dl.acm.org/citation.cfm?id=2623661)                                                                          | KDD 2014     |
| Karasuyama and Takeuchi | [Multiple Incremental Decremental Learning of Support Vector Machines](https://ieeexplore.ieee.org/abstract/document/5484614)                                                         | NeurIPS 2009 |
| Duan et al.             | [Decremental Learning Algorithms for Nonlinear Langrangian and Least Squares Support Vector Machines](https://pdfs.semanticscholar.org/312c/677f0882d0dfd60bfd77346588f52aefd10f.pdf) | OSB 2007     |
| Romero et al.           | [Incremental and Decremental Learning for Linear Support Vector Machines](https://link.springer.com/chapter/10.1007/978-3-540-74690-4_22)                                             | ICANN 2007   |
| Tveit et al.            | [Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients](https://link.springer.com/chapter/10.1007/978-3-540-45228-7_42)                         | DaWaK 2003   |
| Tveit and Hetland       | [Multicategory Incremental Proximal Support Vector Classifiers](https://link.springer.com/chapter/10.1007/978-3-540-45224-9_54)                                                       | KES 2003     |
| Cauwenberghs and Poggio | [Incremental and Decremental Support Vector Machine Learning](http://papers.nips.cc/paper/1814-incremental-and-decremental-support-vector-machine-learning.pdf)                       | NeurIPS 2001 |
| Canada                  | [PIPEDA](https://www.priv.gc.ca/en/privacy-topics/privacy-laws-in-canada/the-personal-information-protection-and-electronic-documents-act-pipeda/)                                    | 2000         |

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