wanglouis49 / Pytorch Adversarial_box
PyTorch library for adversarial attack and training
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Adversarial Box - Pytorch Adversarial Attack and Training
Luyu Wang and Gavin Ding, Borealis AI
Motivation?
CleverHans comes in handy for Tensorflow. However, PyTorch does not have the luck at this moment. Foolbox supports multiple deep learning frameworks, but it lacks many major implementations (e.g., black-box attack, Carlini-Wagner attack, adversarial training). We feel there is a need to write an easy-to-use and versatile library to help our fellow researchers and engineers.
We have a much more updated version called AdverTorch. You can find most of the popular attacks there. This repo will not be maintained anymore.
Usage
from adversarialbox.attacks import FGSMAttack
adversary = FGSMAttack(model, epsilon=0.1)
X_adv = adversary.perturb(X_i, y_i)
Examples
List of supported attacks
- FGSM
- PGD
- Black-box
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