Deep Learning-Based Rotational-XOR Distinguishers for AND-RX Block Ciphers: Evaluations on Simeck and Simon

Deep Learning-Based Rotational-XOR Distinguishers for AND-RX Block Ciphers: Evaluations on Simeck and Simon. Ebrahimi, A., Gérault, D., & Palmieri, P. In Carlet, C., Mandal, K., & Rijmen, V., editors, Selected Areas in Cryptography - SAC 2023 - 30th International Conference, Fredericton, Canada, August 14-18, 2023, Revised Selected Papers, volume 14201, of Lecture Notes in Computer Science, pages 429–450, 2023. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/sacrypt/EbrahimiG023,
  author       = {Amirhossein Ebrahimi and
                  David G{\'{e}}rault and
                  Paolo Palmieri},
  editor       = {Claude Carlet and
                  Kalikinkar Mandal and
                  Vincent Rijmen},
  title        = {Deep Learning-Based Rotational-XOR Distinguishers for {AND-RX} Block
                  Ciphers: Evaluations on Simeck and Simon},
  booktitle    = {Selected Areas in Cryptography - {SAC} 2023 - 30th International Conference,
                  Fredericton, Canada, August 14-18, 2023, Revised Selected Papers},
  series       = {Lecture Notes in Computer Science},
  volume       = {14201},
  pages        = {429--450},
  publisher    = {Springer},
  year         = {2023},
  url          = {https://doi.org/10.1007/978-3-031-53368-6\_21},
  doi          = {10.1007/978-3-031-53368-6\_21},
  timestamp    = {Sat, 16 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/sacrypt/EbrahimiG023.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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