  DeepRobust is a PyTorch adversarial learning library which aims to build a
comprehensive and easy-to-use platform to foster this research field. It
currently contains more than 10 attack algorithms and 8 defense algorithms in
image domain and 9 attack algorithms and 4 defense algorithms in graph domain,
under a variety of deep learning architectures. In this manual, we introduce
the main contents of DeepRobust with detailed instructions. The library is kept
updated and can be found at https://github.com/DSE-MSU/DeepRobust.
