adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is
to allow rapid crafting and analysis of attacks and defense methods for
machine learning models. The Adversarial Robustness Toolbox provides an
implementation for many state-of-the-art methods for attacking and defending
classifiers.