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.
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)
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