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Improved Weakly Private Information Retrieval Codes

Authors :
Qian, Chengyuan
Zhou, Ruida
Tian, Chao
Liu, Tie
Publication Year :
2022

Abstract

We study the problem of weakly private information retrieval (W-PIR), where a user wishes to retrieve a desired message from $N$ non-colluding servers in a way that the privacy leakage regarding the desired message's identity is less than or equal to a threshold. We propose a new code construction which significantly improves upon the best known result in the literature, based on the following critical observation. In previous constructions, for the extreme case of minimum download, the retrieval pattern is to download the message directly from $N-1$ servers; however this causes leakage to all these $N-1$ servers, and a better retrieval pattern for this extreme case is to download the message directly from a single server. The proposed code construction allows a natural transition to such a pattern, and for both the maximal leakage metric and the mutual information leakage metric, significant improvements can be obtained. We provide explicit solutions, in contrast to a previous work by Lin et al., where only numerical solutions were obtained.<br />Comment: 6 pages 1 figure, ISIT 2022 accepted

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2205.01611
Document Type :
Working Paper