Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks

Huishuai Zhang, Da Yu, Yiping Lu, Di He. Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. In Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent, editors, International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. Volume 206 of Proceedings of Machine Learning Research, pages 2792-2804, PMLR, 2023. [doi]

@inproceedings{ZhangYLH23-1,
  title = {Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks},
  author = {Huishuai Zhang and Da Yu and Yiping Lu and Di He},
  year = {2023},
  url = {https://proceedings.mlr.press/v206/zhang23d.html},
  researchr = {https://researchr.org/publication/ZhangYLH23-1},
  cites = {0},
  citedby = {0},
  pages = {2792-2804},
  booktitle = {International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain},
  editor = {Francisco J. R. Ruiz and Jennifer G. Dy and Jan-Willem van de Meent},
  volume = {206},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}