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Paper Detail

Paper IDP.9.3
Paper Title The Capacity of Single-Server Weakly-Private Information Retrieval
Authors Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes, Simula UiB, Norway; Alexandre Graell i Amat, Chalmers University of Technology/Simula UiB, Sweden; Eitan Yaakobi, Technion — Israel Institute of Technology, Israel
Session P.9: Private Information Retrieval II
Presentation Lecture
Track Cryptography, Security and Privacy
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract Weakly-private information retrieval (WPIR) is a variant of the private information retrieval problem in which a user wants to efficiently retrieve a file stored across a set of servers while tolerating some information leakage on the identity of the requested file to the servers. In this paper, we consider WPIR from a single-server database where the information leakage is measured in terms of the mutual information (MI) or maximal leakage (MaxL) privacy metrics. In particular, we establish a connection between the WPIR problem and rate-distortion theory, and fully characterize the optimal tradeoff between the download cost and the allowed information leakage under the MI and MaxL metrics, settling the single-server WPIR capacity.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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