AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning.

Yanjun Zhang|Guangdong Bai|Mahawaga Arachchige Pathum Chamikara|Mengyao Ma|Liyue Shen|Jingwei Wang|Surya Nepal|Minhui Xue|Long Wang|Joseph K. Liu


Anthology ID:DBLP:conf/www/ZhangBCMSWNXWL23
Volume:Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
Year:2023
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2371-2382
URL:https://doi.org/10.1145/3543507.3583542
DOI:https://doi.org/10.1145/3543507.3583542
DBLP:conf/www/ZhangBCMSWNXWL23
BibTeX:
@inproceedings{zhang-2023-agrevader, author = {Yanjun Zhang and Guangdong Bai and Mahawaga Arachchige Pathum Chamikara and Mengyao Ma and Liyue Shen and Jingwei Wang and Surya Nepal and Minhui Xue and Long Wang and Joseph K. Liu}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning}}, booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {2371--2382}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543507.3583542}, doi = {https://doi.org/10.1145/3543507.3583542} }