A single family of DP bounds covers membership inference, attribute inference, and reconstruction for multiple targets, non-uniform priors, and approximate success metrics, depending only on epsilon and the attacker's prior success rate.
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A Unified Framework for Adversary-Aware Differential Privacy Bounds
A single family of DP bounds covers membership inference, attribute inference, and reconstruction for multiple targets, non-uniform priors, and approximate success metrics, depending only on epsilon and the attacker's prior success rate.