Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning

1 code implementation • 5 Jun 2023 • Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović, Martin Vechev

Malicious server (MS) attacks have enabled the scaling of data stealing in federated learning to large batch sizes and secure aggregation, settings previously considered private.

Federated Learning