A mutual-information-based criterion, Dmia, predicts model inversion attack difficulty in collaborative inference, and the SiftFunnel defense suppresses the criterion's factors to raise reconstruction error with only about a 3% accuracy drop.
Collaborative in- ference via ensembles on the edge,
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How Breakable Is Privacy: Probing and Resisting Model Inversion Attacks in Collaborative Inference
A mutual-information-based criterion, Dmia, predicts model inversion attack difficulty in collaborative inference, and the SiftFunnel defense suppresses the criterion's factors to raise reconstruction error with only about a 3% accuracy drop.