Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage

Zhuohang Li, Jiaxin Zhang 0005, Luyang Liu, Jian Liu 0001. Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 10122-10132, IEEE, 2022. [doi]

@inproceedings{Li0L022,
  title = {Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage},
  author = {Zhuohang Li and Jiaxin Zhang 0005 and Luyang Liu and Jian Liu 0001},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.00989},
  url = {https://doi.org/10.1109/CVPR52688.2022.00989},
  researchr = {https://researchr.org/publication/Li0L022},
  cites = {0},
  citedby = {0},
  pages = {10122-10132},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6946-3},
}