DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

• URL: http://arxiv.org/abs/2005.06149v1
• Date: Wed, 13 May 2020 04:43:46 GMT
• Title: DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
• Authors: Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
• Abstract summary: DeepRobust is a PyTorch adversarial learning library. It aims to build a comprehensive and easy-to-use platform to foster this research field.
• Score: 52.18827652666269
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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