Adversarial Defense Open Source Projects

Must-read Papers on Textual Adversarial Attack and Defense

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

A list of awesome resources for adversarial attack and defense method in deep learning

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Adversarial attacks on Deep Reinforcement Learning (RL)