A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
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Updated
Oct 15, 2023 - Python
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Reproduce multiple adversarial attack methods
Adversarial attack generation techniques for CIFAR10 based on Pytorch: L-BFGS, FGSM, I-FGSM, MI-FGSM, DeepFool, C&W, JSMA, ONE-PIXEL, UPSET
A Tensorflow adversarial machine learning attack toolkit to add perturbations and cause image recognition models to misclassify an image
Bachelor's thesis code revisiting PGD robustness evaluation through misclassification speed, comparing random, DeepFool, and multi-DeepFool initializations (TensorFlow 1.15).
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