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CleverHans

Library for benchmarking adversarial ML attacks

CuratedOffensive Testing & Red Teaming

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CleverHans is an open-source Python library (MIT) for adversarial machine learning, used to craft adversarial examples, test defences and benchmark model robustness. Since version 4 it supports JAX, PyTorch and TensorFlow 2, with attacks such as the fast gradient sign method and projected gradient descent. It was started by Ian Goodfellow and Nicolas Papernot and is kept by the CleverHans Lab in Toronto.

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