Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization

Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu 0001. Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 26693-26712, PMLR, 2022. [doi]

@inproceedings{ZhangZKHC022,
  title = {Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization},
  author = {Yihua Zhang and Guanhua Zhang and Prashant Khanduri and Mingyi Hong and Shiyu Chang and Sijia Liu 0001},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/zhang22ak.html},
  researchr = {https://researchr.org/publication/ZhangZKHC022},
  cites = {0},
  citedby = {0},
  pages = {26693-26712},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}