Encrypted-SNN: A Privacy-Preserving Method for Converting Artificial Neural Networks to Spiking Neural Networks

Xiwen Luo, Qiang Fu, Sheng Qin, Kaiyang Wang. Encrypted-SNN: A Privacy-Preserving Method for Converting Artificial Neural Networks to Spiking Neural Networks. In Biao Luo, Long Cheng 0001, Zheng-Guang Wu, Hongyi Li 0001, Chaojie Li, editors, Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part II. Volume 14448 of Lecture Notes in Computer Science, pages 519-530, Springer, 2023. [doi]

@inproceedings{LuoFQW23,
  title = {Encrypted-SNN: A Privacy-Preserving Method for Converting Artificial Neural Networks to Spiking Neural Networks},
  author = {Xiwen Luo and Qiang Fu and Sheng Qin and Kaiyang Wang},
  year = {2023},
  doi = {10.1007/978-981-99-8082-6_40},
  url = {https://doi.org/10.1007/978-981-99-8082-6_40},
  researchr = {https://researchr.org/publication/LuoFQW23},
  cites = {0},
  citedby = {0},
  pages = {519-530},
  booktitle = {Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part II},
  editor = {Biao Luo and Long Cheng 0001 and Zheng-Guang Wu and Hongyi Li 0001 and Chaojie Li},
  volume = {14448},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8082-6},
}