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}
}