DeepRobust is a PyTorch adversarial library that implements attack and defense methods targeting deep learning models. It covers both image-based and graph-based domains, including graph neural networks and graph convolutional networks. The library enables researchers to evaluate model robustness by generating adversarial examples and testing defense strategies.