Gradient differences submitted as proof of federated unlearning leak enough information for a trained inversion model to reconstruct the supposedly forgotten images.
In29th USENIX security symposium (USENIX Security 20), pages 1291–1308, 2020
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Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning
Gradient differences submitted as proof of federated unlearning leak enough information for a trained inversion model to reconstruct the supposedly forgotten images.