Deeprobust: A Platform For Adversarial Attacks And Defenses

DeepRobust is a PyTorch platform for generating adversarial examples and building robust machine learning models for different data domains. Users can easily evaluate the attack performance against different defense methods with Deep-Robust. In this paper, we introduce the functions of Deep-Robust with detailed instructions. We will demonstrate that DeepRobust is a useful tool to measure deep learning model robustness and to identify the suitable countermeasures against adversarial attacks. The platform is kept updated and can be found at https://github.com/DSE-MSU/DeepRobust. More details of instructions can be found in the documentation at https://deeprobust.readthedocs.io/en/latest/.