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 .

翻译：advertorch是对抗性稳健性研究的工具箱,包含各种攻击、防御和稳健培训方法的实施。 advertorch建在PyTorch上(Paszke等人,2017年),利用动态计算图的优势提供简明有效的参考实施。 该代码根据LGPL许可证获得许可,并在https://github.com/BorealisAI/advertorch上公开发布。