PLFG: A Privacy Attack Method Based on Gradients for Federated Learning

Feng Wu. PLFG: A Privacy Attack Method Based on Gradients for Federated Learning. In Shui Yu, Peter Mueller, Jiangbo Qian, editors, Security and Privacy in Digital Economy - First International Conference, SPDE 2020, Quzhou, China, October 30 - November 1, 2020, Proceedings. Volume 1268 of Communications in Computer and Information Science, pages 191-204, Springer, 2020. [doi]

@inproceedings{Wu20-47,
  title = {PLFG: A Privacy Attack Method Based on Gradients for Federated Learning},
  author = {Feng Wu},
  year = {2020},
  doi = {10.1007/978-981-15-9129-7_14},
  url = {https://doi.org/10.1007/978-981-15-9129-7_14},
  researchr = {https://researchr.org/publication/Wu20-47},
  cites = {0},
  citedby = {0},
  pages = {191-204},
  booktitle = {Security and Privacy in Digital Economy - First International Conference, SPDE 2020, Quzhou, China, October 30 - November 1, 2020, Proceedings},
  editor = {Shui Yu and Peter Mueller and Jiangbo Qian},
  volume = {1268},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-15-9129-7},
}