Transferability-Reduced-Smooth-Ensemble

KO | EN

gitlite — search

#python #hacktoberfest #typescript #go #android #docker #nodejs #awesome #cli #kubernetes #vue #ios #mcp #open-source

Transferability-Reduced-Smooth-Ensemble

(★ 22)

No description available.

Transferability-Reduced-Smooth-Ensemble 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

## TRS ensemble training code repo

This code repo contains codebase for our proposed TRS ensemble training. We also include other STOA baseline code for fair comparison.

#### Empirical ensemble robustness

* ADP Training (https://arxiv.org/abs/1901.08846)
* GAL Training (https://arxiv.org/abs/1901.09981)
* DVERGE Training (https://arxiv.org/abs/2009.14720)
* Adversarial Training (https://arxiv.org/abs/1706.06083)
* **TRS Training** (ours)

`train/Empirical` folder contains corresponding code to construct above robust ensemble models. You can use the command as

`python train/Empirical/train_xxx.py **kwargs`

`**kwargs` refers to the training parameters which is defined in `utils/Empirical/arguments.py`

`eval/Empirical` folder contains:

* `whitebox/blackbox.py`: Test the whitebox/blackbox attack robustness of the given ensemble model.
* `decison_boundary.py`: Plot the decision boundary figure around the given input instances
* `trans_matrix.py`: Evaluate the adversarial transferability among base models under various attacks.

`utils/Empirical` folder contains:

* `surrogate.py`: Generate blackbox transfer attack instances from the given surrogate ensemble models.

Transferability-Reduced-Smooth-Ensemble

Transferability-Reduced-Smooth-Ensemble 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Transferability-Reduced-Smooth-Ensemble

Transferability-Reduced-Smooth-Ensemble 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README