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William Cheng

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#machine learning Preprint Oct 2026

Privacy Accounting for Empirical Denoisers

Diffusion models have emerged as the foundation of modern generative systems, yet their high memorization capacity raises privacy concerns. While differentially private (DP) training provides formal guarantees, it comes at a cost in sample quality. In this work, we study a complementary question: how much privacy loss...

William Cheng, Dongjun Kim, Mijung Park · 0 citations

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