MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference

Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider 0003, Hossein Yalame. MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. In Benyu Zhang, Raluca Ada Popa, Matei Zaharia, Guofei Gu, Shouling Ji, editors, PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, Virtual Event, USA, November, 2020. pages 43-45, ACM, 2020. [doi]

@inproceedings{BoemerCD0Y20-0,
  title = {MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference},
  author = {Fabian Boemer and Rosario Cammarota and Daniel Demmler and Thomas Schneider 0003 and Hossein Yalame},
  year = {2020},
  doi = {10.1145/3411501.3419425},
  url = {https://doi.org/10.1145/3411501.3419425},
  researchr = {https://researchr.org/publication/BoemerCD0Y20-0},
  cites = {0},
  citedby = {0},
  pages = {43-45},
  booktitle = {PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, Virtual Event, USA, November, 2020},
  editor = {Benyu Zhang and Raluca Ada Popa and Matei Zaharia and Guofei Gu and Shouling Ji},
  publisher = {ACM},
  isbn = {978-1-4503-8088-1},
}