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most citedProtection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling

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Protection against Source Inference Attacks in Federated Learning

Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi

Federated Learning (FL) was initially proposed as a privacy-preserving machine learning paradigm. However, FL has been shown to be susceptible to a series of privacy attacks. Recen…