Make Some Noise: Reliable and Efficient Single-Step Adversarial Training

Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania. Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{ArandaBVSTRD22,
  title = {Make Some Noise: Reliable and Efficient Single-Step Adversarial Training},
  author = {Pau de Jorge Aranda and Adel Bibi and Riccardo Volpi and Amartya Sanyal and Philip H. S. Torr and Grégory Rogez and Puneet K. Dokania},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/5434a6b40f8f65488e722bc33d796c8b-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/ArandaBVSTRD22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}