Feature Purification: How Adversarial Training Performs Robust Deep Learning

Zeyuan Allen Zhu, Yuanzhi Li. Feature Purification: How Adversarial Training Performs Robust Deep Learning. In 62nd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2021, Denver, CO, USA, February 7-10, 2022. pages 977-988, IEEE, 2021. [doi]

@inproceedings{Allen-ZhuL21,
  title = {Feature Purification: How Adversarial Training Performs Robust Deep Learning},
  author = {Zeyuan Allen Zhu and Yuanzhi Li},
  year = {2021},
  doi = {10.1109/FOCS52979.2021.00098},
  url = {https://doi.org/10.1109/FOCS52979.2021.00098},
  researchr = {https://researchr.org/publication/Allen-ZhuL21},
  cites = {0},
  citedby = {0},
  pages = {977-988},
  booktitle = {62nd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2021, Denver, CO, USA, February 7-10, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-2055-6},
}