A single gradient step finds adversarial examples on random two-layers neural networks

Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes. A single gradient step finds adversarial examples on random two-layers neural networks. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 10081-10091, 2021. [doi]

@inproceedings{BubeckCGC21,
  title = {A single gradient step finds adversarial examples on random two-layers neural networks},
  author = {Sébastien Bubeck and Yeshwanth Cherapanamjeri and Gauthier Gidel and Remi Tachet des Combes},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/536eecee295b92db6b32194e269541f8-Abstract.html},
  researchr = {https://researchr.org/publication/BubeckCGC21},
  cites = {0},
  citedby = {0},
  pages = {10081-10091},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}