PrivColl: Practical Privacy-Preserving Collaborative Machine Learning

Yanjun Zhang, Guangdong Bai, Xue Li 0001, Caitlin Curtis, Chen Chen 0056, Ryan K. L. Ko. PrivColl: Practical Privacy-Preserving Collaborative Machine Learning. In Liqun Chen, Ninghui Li, Kaitai Liang, Steve A. Schneider, editors, Computer Security - ESORICS 2020 - 25th European Symposium on Research in Computer Security, ESORICS 2020, Guildford, UK, September 14-18, 2020, Proceedings, Part I. Volume 12308 of Lecture Notes in Computer Science, pages 399-418, Springer, 2020. [doi]

@inproceedings{ZhangBLCCK20,
  title = {PrivColl: Practical Privacy-Preserving Collaborative Machine Learning},
  author = {Yanjun Zhang and Guangdong Bai and Xue Li 0001 and Caitlin Curtis and Chen Chen 0056 and Ryan K. L. Ko},
  year = {2020},
  doi = {10.1007/978-3-030-58951-6_20},
  url = {https://doi.org/10.1007/978-3-030-58951-6_20},
  researchr = {https://researchr.org/publication/ZhangBLCCK20},
  cites = {0},
  citedby = {0},
  pages = {399-418},
  booktitle = {Computer Security - ESORICS 2020 - 25th European Symposium on Research in Computer Security, ESORICS 2020, Guildford, UK, September 14-18, 2020, Proceedings, Part I},
  editor = {Liqun Chen and Ninghui Li and Kaitai Liang and Steve A. Schneider},
  volume = {12308},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58951-6},
}