Adversarial Examples Make Strong Poisons

Liam Fowl, Micah Goldblum, Ping-Yeh Chiang, Jonas Geiping, Wojciech Czaja, Tom Goldstein. Adversarial Examples Make Strong Poisons. 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 30339-30351, 2021. [doi]

@inproceedings{FowlGCGCG21,
  title = {Adversarial Examples Make Strong Poisons},
  author = {Liam Fowl and Micah Goldblum and Ping-Yeh Chiang and Jonas Geiping and Wojciech Czaja and Tom Goldstein},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/fe87435d12ef7642af67d9bc82a8b3cd-Abstract.html},
  researchr = {https://researchr.org/publication/FowlGCGCG21},
  cites = {0},
  citedby = {0},
  pages = {30339-30351},
  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},
}