Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks.

Yichang Xu|Ming Yin|Minghong Fang|Neil Zhenqiang Gong


Anthology ID:DBLP:conf/www/XuYFG24
Volume:Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:798-801
URL:https://doi.org/10.1145/3589335.3651555
DOI:https://doi.org/10.1145/3589335.3651555
DBLP:conf/www/XuYFG24
BibTeX:
@inproceedings{xu-2024-robust, author = {Yichang Xu and Ming Yin and Minghong Fang and Neil Zhenqiang Gong}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Roy Ka-Wei Lee and Ravi Kumar and Hady Wirawan Lauw}, title = {{Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}}, pages = {798--801}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589335.3651555}, doi = {https://doi.org/10.1145/3589335.3651555} }