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Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images
Several methods for auditing privacy in embedding spaces report a number called "epsilon." The common name is misleading: one number may be a heuristic score, another may come from a valid population inequality but ignore sampling uncertainty, and a third may be a confidence bound. This paper asks w
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