The Capacity of Single-Server Weakly-Private Information Retrieval
Paper i proceeding, 2020

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.


Hsuan Yin Lin

Simula UiB

Siddhartha Kumar

Simula UiB

Eirik Rosnes

Simula UiB

Alexandre Graell I Amat

Simula UiB

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Eitan Yaakobi

Technion – Israel Institute of Technology

IEEE International Symposium on Information Theory - Proceedings

21578095 (ISSN)

Vol. 2020-June 1053-1058 9174048

2020 IEEE International Symposium on Information Theory, ISIT 2020
Los Angeles, USA,

Distribuerad lagring för datalagring och trådlös leverans av data

Vetenskapsrådet (VR), 2016-01-01 -- 2019-12-31.



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