Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree

Wen-Jie Lu, Zhicong Huang, Qizhi Zhang, Yuchen Wang, Cheng Hong. Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree. In Joseph A. Calandrino, Carmela Troncoso, editors, 32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023. pages 6435-6451, USENIX Association, 2023. [doi]

@inproceedings{LuHZWH23,
  title = {Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree},
  author = {Wen-Jie Lu and Zhicong Huang and Qizhi Zhang and Yuchen Wang and Cheng Hong},
  year = {2023},
  url = {https://www.usenix.org/conference/usenixsecurity23/presentation/lu},
  researchr = {https://researchr.org/publication/LuHZWH23},
  cites = {0},
  citedby = {0},
  pages = {6435-6451},
  booktitle = {32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023},
  editor = {Joseph A. Calandrino and Carmela Troncoso},
  publisher = {USENIX Association},
}