FedLeak reconstructs high-fidelity images from federated learning gradients at practical batch sizes, without auxiliary data, by matching only the largest gradient components and regularizing the optimization.
Privacy-preserving deep learning via additively homo- morphic encryption.IEEE TIFS, 13(5):1333–1345, 2017
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Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings
FedLeak reconstructs high-fidelity images from federated learning gradients at practical batch sizes, without auxiliary data, by matching only the largest gradient components and regularizing the optimization.