Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters

Autor:	Haney, Samuel, Shoemate, Michael, Tian, Grace, Vadhan, Salil, Vyrros, Andrew, Xu, Vicki, Zhang, Wanrong
Rok vydání:	2023
Předmět:	Computer Science - Cryptography and Security Computer Science - Data Structures and Algorithms Computer Science - Information Theory
Druh dokumentu:	Working Paper
Popis:	In this paper, we study the concurrent composition of interactive mechanisms with adaptively chosen privacy-loss parameters. In this setting, the adversary can interleave queries to existing interactive mechanisms, as well as create new ones. We prove that every valid privacy filter and odometer for noninteractive mechanisms extends to the concurrent composition of interactive mechanisms if privacy loss is measured using $(\epsilon, \delta)$-DP, $f$-DP, or R\'enyi DP of fixed order. Our results offer strong theoretical foundations for enabling full adaptivity in composing differentially private interactive mechanisms, showing that concurrency does not affect the privacy guarantees. We also provide an implementation for users to deploy in practice. Comment: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (CCS '23)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2309.05901 Zobrazit plný text záznamu View this record from Arxiv