Reconstruction from group-invariant networks collapses toward the orbit-average input, and two modified methods (SAME-GD, deep image prior) reduce this collapse in preliminary MNIST experiments.
Inverting gradients-how easy is it to break privacy in federated learning? Advances in Neural Information Processing Systems, 33: 0 16937--16947, 2020
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On the Reconstruction of Training Data from Group Invariant Networks
Reconstruction from group-invariant networks collapses toward the orbit-average input, and two modified methods (SAME-GD, deep image prior) reduce this collapse in preliminary MNIST experiments.