What AI says about AttackBench

AttackBench is a benchmarking framework for evaluating gradient-based adversarial attacks on machine learning models. It builds a diverse set of robust and non-robust models, defines a reproducible testing environment, and runs attacks to generate comparable security evaluation curves for fair benchmarking. It provides a leaderboard and associated research to help assess defenses and robustness in adversarial ML.