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Adversarial Weight Perturbation based adversarial Training #2164

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Zaid-Hameed opened this issue May 24, 2023 · 0 comments · Fixed by #2224
Closed

Adversarial Weight Perturbation based adversarial Training #2164

Zaid-Hameed opened this issue May 24, 2023 · 0 comments · Fixed by #2224
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enhancement New feature or request
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@Zaid-Hameed
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Is your feature request related to a problem? Please describe.
I want to implement an adversarial training approach "Adversarial Weight Perturbation (AWP)" because it is useful for ART in providing a better robustness against evasion attacks and mitigates robust overfitting.

Describe the solution you'd like
AWP is an important adversarial training approach because it provides better robustness against adversarial attacks and mitigates robust overfitting. AWP has been proposed in paper "Adversarial Weight Perturbation Helps
Robust Generalization".

Paper link: https://proceedings.neurips.cc/paper/2020/file/1ef91c212e30e14bf125e9374262401f-Paper.pdf

It is also a base component of more advanced adversarial training approaches.

Describe alternatives you've considered
N/A

Additional context
N/A

@beat-buesser beat-buesser added the enhancement New feature or request label May 25, 2023
@beat-buesser beat-buesser added this to the ART 1.16.0 milestone May 25, 2023
@beat-buesser beat-buesser linked a pull request Jul 22, 2023 that will close this issue
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