Satoshi Hasegawa
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2026
Differentially Private Sampling from Distributions via Wasserstein Projection
This paper introduces a novel framework for differentially private sampling by using the Wasserstein distance as the utility measure, proposing the Wasserstein Projection Mechanism (WPM) to address limitations of density ratio-based methods.
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