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Sep, 2023
指纹攻击:联邦学习中的客户端去匿名化
Fingerprint Attack: Client De-Anonymization in Federated Learning
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Qiongkai Xu, Trevor Cohn, Olga Ohrimenko
TL;DR
该论文研究联邦学习中的隐私保护,探讨采用梯度指纹攻击跟踪参与者对服务器发送的梯度,以及采用微分隐私进行训练以提供有效防御的可行性。
Abstract
federated learning
allows collaborative training without data sharing in settings where participants do not trust the central server and one another.
privacy
can be further improved by ensuring that communication
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