Concurrent Composition Theorems for Differential Privacy
Salil P. Vadhan, Wanrong Zhang
摘要
We study the concurrent composition properties of interactive differentially private mechanisms, whereby an adversary can arbitrarily interleave its queries to the different mechanisms. We prove that all composition theorems for non-interactive differentially private mechanisms extend to the concurrent composition of interactive differentially private mechanisms, whenever differential privacy is measured using the hypothesis testing framework of f -DP, which captures standard ( , δ)-DP as a special case. We prove the concurrent composition theorem by showing that every interactive f -DP mechanism can be simulated by interactive post-processing of a non-interactive f -DP mechanism. In concurrent and independent work, Lyu [Lyu22] proves a similar result to ours for ( , δ)-DP, as well as a concurrent composition theorem for Rényi DP. We also provide a simple proof of Lyu's concurrent composition theorem for Rényi DP. Lyu leaves the general case of f -DP as an open problem, which we solve in this paper.
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引用它的顶会 Paper7
- Composition Theorems for Interactive Differential PrivacyXin LyuNeurIPS 2022 · 被引用 29 次
- Faster Differentially Private Convex Optimization via Second-Order MethodsArun Ganesh, Mahdi Haghifam, Thomas Steinke, Abhradeep Guha ThakurtaNeurIPS 2023 · 被引用 18 次
- Adaptive Privacy Composition for Accuracy-first MechanismsRyan M. Rogers, Gennady Samorodnitsky, Zhiwei Steven Wu, Aaditya RamdasNeurIPS 2023 · 被引用 6 次
- Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss ParametersSamuel Haney, Michael Shoemate, Grace Tian, Salil P. Vadhan 等CCS 2023 · 被引用 4 次
- Private Learning of Littlestone Classes, RevisitedXin LyuSTOC 2026 · 被引用 4 次
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