Revisiting Assumptions for Membership Inference on Summary Statistics
A theoretical lower bound on inference error is derived that cleanly separates a statistical term governed by pool size and feature dimensionality from a signal term capturing disease-driven shifts and shows that attack accuracy on disease-specific cohorts exceeds that on size-matched random pools by approximately 10%,...