AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning-Reference-Cited by-同舟云学术

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning

Published:2023-04-30 Issue: Volume: Page:
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Container-title:Proceedings of the ACM Web Conference 2023
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Author:

Zhang Yanjun¹^ORCID,Bai Guangdong²^ORCID,Chamikara Mahawaga Arachchige Pathum³^ORCID,Ma Mengyao²^ORCID,Shen Liyue²^ORCID,Wang Jingwei²^ORCID,Nepal Surya³^ORCID,Xue Minhui³^ORCID,Wang Long⁴^ORCID,Liu Joseph⁵^ORCID

Affiliation:

1. Deakin University, Australia

2. The University of Queensland, Australia

3. CSIRO's Data61, Australia

4. Intelligent Engine Department, Ant Group, MYBank, China

5. Monash University, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583542

Reference65 articles.

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4. Deep Learning with Differential Privacy

5. Dan Alistarh , Zeyuan Allen-Zhu , and Jerry Li . 2018 . Byzantine stochastic gradient descent . In Proceedings of the 32nd International Conference on Neural Information Processing Systems. 4618–4628 . Dan Alistarh, Zeyuan Allen-Zhu, and Jerry Li. 2018. Byzantine stochastic gradient descent. In Proceedings of the 32nd International Conference on Neural Information Processing Systems. 4618–4628.

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