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DifferentialPrivacy.org
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Website for the differential privacy research community
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Differential Privacy
updated
2026-03-01 06:01:24
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Differential Privacy - DifferentialPrivacy.org Differential Privacy .org Home About Posts Resources NeurIPS 2023 Outstanding Paper: Privacy auditing in just one run NeurIPS 2023 just wrapped up, and one of the two outstanding paper awards went to Privacy Auditing with One (1) Training Run , by Thomas Steinke , Milad Nasr , and Matthew Jagielski . The main result of this paper is a method for auditing the (differential) privacy guarantees of an algorithm, but much faster and more practically than previous methods. In this post, we’ll dive into what this all means. Read More Open problem(s) - How generic can composition results be? The composition theorem is a cornerstone of differential privacy literature. In its most basic formulation, it states that if two mechanisms \(\mathcal{M}_1\) and \(\mathcal{M}_2\) are respectively \(\varepsilon_1\)-DP and \(\varepsilon_2\)-DP, then the mechanism \(\mathcal{M}\) defined by \(\mathcal{M}(D)=\left(\mathcal{M}_1(D),...
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