advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch

Gavin Weiguang Ding; Luyu Wang; Xiaomeng Jin

advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch

Machine Learning 2019-02-21 v1 Cryptography and Security Computer Vision and Pattern Recognition Machine Learning

Authors: Gavin Weiguang Ding , Luyu Wang , Xiaomeng Jin

Abstract

advertorch is a toolbox for adversarial robustness research. It contains various implementations for attacks, defenses and robust training methods. advertorch is built on PyTorch (Paszke et al., 2017), and leverages the advantages of the dynamic computational graph to provide concise and efficient reference implementations. The code is licensed under the LGPL license and is open sourced at https://github.com/BorealisAI/advertorch .

Keywords

software library

Cite

@article{arxiv.1902.07623,
  title  = {advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch},
  author = {Gavin Weiguang Ding and Luyu Wang and Xiaomeng Jin},
  journal= {arXiv preprint arXiv:1902.07623},
  year   = {2019}
}

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