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Found 2 papers, 1 papers with code
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning
The methodology of using this attack is discussed, and as a proof of viability we show how this attack method can be used to great effect for densely connected networks and convolutional neural networks.
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
Additionally, we provide a literature study of the most recent defensive strategies and algorithms for FL aimed to overcome these attacks.
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