WeicongChen / pytorch-adversarial_box

PyTorch library for adversarial attack and training

Adversarial Box - Pytorch Adversarial Attack and Training

Luyu Wang and Gavin Ding, Borealis AI

Motivation?

CleverHans greatly facilitates code written in 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 this is a need to write an easy-to-use and versatile library to help our fellow researchers and engineers.

Usage

from adversarialbox.attacks import FGSMAttack
adversary = FGSMAttack(model, epsilon=0.1)
X_adv = adversary.perturb(X_i, y_i)

Examples

1. MNIST with FGSM (code)
2. Adversarial Training on MNIST (code)
3. MNIST using a black-box attack (code)

List of supported attacks

1. FGSM
2. PGD
3. Black-box