Oct 30, 2013 · In this work, we study the fundamental tradeoff between utility and privacy under differential privacy, and derive the optimal differentially ...
In this work we study the fundamental tradeoff between privacy and utility in differential privacy. We derive the optimal ε-differentially private mechanism for ...
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Dec 5, 2012 · We derive the optimal \epsilon-differentially private mechanism for single real-valued query function under a very general utility-maximization (or cost- ...
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[PDF] The Optimal Noise-Adding Mechanism in Differential Privacy
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Due to Theorem 3, to derive the optimal randomized mechanism to preserve differential privacy, we can restrict to noise-adding mechanisms where the noise ...
This work derives the optimal ε-differentially private mechanism for single real-valued query function under a very general utility-maximization (or ...
We show that the optimal noise probability distribution has a correlated multidimensional staircase-shaped probability density function. Compared with the ...
Abstract—Differential privacy is a framework to quantify to what extent individual privacy in a statistical database is preserved while releasing useful ...
In this work we study the fundamental tradeoff between privacy and utility in differential privacy. We derive the optimal ε-differentially private mechanism for ...
Oct 22, 2024 · Differential privacy is a framework to quantify to what extent individual privacy in a statistical database is preserved while releasing useful ...
We design a generic mechanism that allows for approximate optimal implementation of insensitive objective functions in ex-post Nash equilibrium. If, furthermore ...