Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models.
Hongyan Gu|Xinyi Zhang|Jiang Li|Hui Wei|Baiqi Li|Xinli Huang
| Anthology ID: | DBLP:conf/www/GuZLWLH24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1149-1157 |
| URL: | https://doi.org/10.1145/3589334.3645514 |
| DOI: | https://doi.org/10.1145/3589334.3645514 |
| DBLP: | conf/www/GuZLWLH24 |
| BibTeX: |
@inproceedings{gu-2024-federated,
author = {Hongyan Gu and
Xinyi Zhang and
Jiang Li and
Hui Wei and
Baiqi Li and
Xinli Huang},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {1149--1157},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645514},
doi = {https://doi.org/10.1145/3589334.3645514}
}