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Naimul Haque

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#machine learning Preprint Aug 2026

Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images

A comparative study of four audits applicable to pre-trained, black-box face generators, which consistently reveal substantial identity distinguishability while reporting markedly different epsilon estimates that reflect each method's distinct assumptions and finite-sample treatment.

Arman Zareian Jahromi, Vishnu Bondalakunta, Mohammad Akbar Bin Shah et al. · 0 citations

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