Introduces Bayesian Membership Privacy (BMP) as a sampling-aware node-level privacy definition for GNNs quantified by posterior membership probability, plus an auditing method and benchmark experiments.
Mueller, Dmitrii Usynin, Johannes C
2 Pith papers cite this work. Polarity classification is still indexing.
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