Deep learning mitigates but does not annihilate the need of aligned traces and a generalized ResNet model for side-channel attacks

Yuanyuan Zhou, François-Xavier Standaert. Deep learning mitigates but does not annihilate the need of aligned traces and a generalized ResNet model for side-channel attacks. J. Cryptographic Engineering, 10(1):85-95, 2020. [doi]

@article{ZhouS20-0,
  title = {Deep learning mitigates but does not annihilate the need of aligned traces and a generalized ResNet model for side-channel attacks},
  author = {Yuanyuan Zhou and François-Xavier Standaert},
  year = {2020},
  doi = {10.1007/s13389-019-00209-3},
  url = {https://doi.org/10.1007/s13389-019-00209-3},
  researchr = {https://researchr.org/publication/ZhouS20-0},
  cites = {0},
  citedby = {0},
  journal = {J. Cryptographic Engineering},
  volume = {10},
  number = {1},
  pages = {85-95},
}