Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities

Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko, Arutyun Avetisyan, Alexander Yu. Drozdov. Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. Peer-to-Peer Networking and Applications, 14(3):1666-1691, 2021. [doi]

@article{Pulido-GaytanTC21,
  title = {Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities},
  author = {Luis Bernardo Pulido-Gaytan and Andrei Tchernykh and Jorge M. Cortés-Mendoza and Mikhail G. Babenko and Gleb I. Radchenko and Arutyun Avetisyan and Alexander Yu. Drozdov},
  year = {2021},
  doi = {10.1007/s12083-021-01076-8},
  url = {https://doi.org/10.1007/s12083-021-01076-8},
  researchr = {https://researchr.org/publication/Pulido-GaytanTC21},
  cites = {0},
  citedby = {0},
  journal = {Peer-to-Peer Networking and Applications},
  volume = {14},
  number = {3},
  pages = {1666-1691},
}