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Fang Liu

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#machine learning Preprint Oct 2026

On Inherent Privacy of Posterior Sampling: A Unified R\'enyi-Divergence Framework

Differential Privacy (DP) provides a rigorous framework for quantifying privacy guarantees. While most methods achieve DP by injecting calibrated random noise, the intrinsic randomness of certain procedures such as sampling can yield DP guarantees ``for free''. In this work, we develop a unified R\'enyi divergence fram...

Ru-Yu Zhou, Fang Liu · 0 citations

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