Rasmus Pagh
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2026
Privacy by Postprocessing the Discrete Laplace Mechanism
This paper demonstrates that the classical discrete Laplace mechanism can be post-processed to create versatile, unbiased estimators for various subexponential functions, making it a preferred choice for privacy-preserving analysis of discrete data.
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