Robbing the FED: Directly Obtaining Private Data in Federated Learning with Modified Models
This repo contains a barebones implementation for the attack detailed in the paper: Fowl L, Geiping J, Czaja W, Goldblum M, Goldstein T. Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. arXiv preprint arXiv:2110.13057. 2021 Oct 25. Left: batch of 64 ImageNet images. Right: Images reconstructed with imprint module containing 128 bins placed in front of a ResNet-18. Average PSNR: 70.94. Abstract: Federated learning has quickly gained popularity with its promises of increaseduser privacy […]
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