Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy

Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio. Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks, 154:218-233, 2022. [doi]

@article{LambVKMKKB22,
  title = {Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy},
  author = {Alex Lamb and Vikas Verma and Kenji Kawaguchi and Alexander Matyasko and Savya Khosla and Juho Kannala and Yoshua Bengio},
  year = {2022},
  doi = {10.1016/j.neunet.2022.07.012},
  url = {https://doi.org/10.1016/j.neunet.2022.07.012},
  researchr = {https://researchr.org/publication/LambVKMKKB22},
  cites = {0},
  citedby = {0},
  journal = {Neural Networks},
  volume = {154},
  pages = {218-233},
}