Megha Khosla
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126
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2026
Bayesian Membership Privacy for Graph Neural Networks
The paper introduces Bayesian Membership Privacy (BMP), a sampling-aware framework that accurately quantifies node-level membership privacy in Graph Neural Networks by treating graph sampling probabilities as part of the adversary's knowledge.
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