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} }