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.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =
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Bayesian Membership Privacy for Graph Neural Networks
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.