Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU

Tianxiang Dai, Li Duan, Yufan Jiang, Yong Li, Fei Mei, Yulian Sun. Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU. In Lothar Fritsch, Ismail Hassan, Ebenezer Paintsil, editors, Secure IT Systems - 28th Nordic Conference, NordSec 2023, Oslo, Norway, November 16-17, 2023, Proceedings. Volume 14324 of Lecture Notes in Computer Science, pages 330-349, Springer, 2023. [doi]

@inproceedings{DaiDJLMS23,
  title = {Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU},
  author = {Tianxiang Dai and Li Duan and Yufan Jiang and Yong Li and Fei Mei and Yulian Sun},
  year = {2023},
  doi = {10.1007/978-3-031-47748-5_18},
  url = {https://doi.org/10.1007/978-3-031-47748-5_18},
  researchr = {https://researchr.org/publication/DaiDJLMS23},
  cites = {0},
  citedby = {0},
  pages = {330-349},
  booktitle = {Secure IT Systems - 28th Nordic Conference, NordSec 2023, Oslo, Norway, November 16-17, 2023, Proceedings},
  editor = {Lothar Fritsch and Ismail Hassan and Ebenezer Paintsil},
  volume = {14324},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-47748-5},
}