Skip to main navigation Skip to search Skip to main content

Data Compression with Private Local Decodability

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Classical compression schemes suggest that message symbols cannot be privately decoded; if a string Xn is encoded into a codeword CnR at a non-trivial rate R, then the decoding of an individual symbol Xi reveals information about the rest of the symbols Xn\Xi.While this holds for virtually all lossless compression schemes, it is shown that this need not be the case. This paper proposes a lossless compression scheme for bit strings with the following properties. For any sufficiently small p > 0, it encodes each length-n bit string of Hamming weight at most np into a binary codeword of length O(np log 2 1/p) such that the subset of compressed bits that need to be probed in order to decode a particular message bit reveals no additional information about the other message bits.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Information Theory, ISIT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1800-1805
Number of pages6
ISBN (Electronic)9781665475549
DOIs
Publication statusPublished - 1 Jan 2023
Event2023 IEEE International Symposium on Information Theory, ISIT 2023 - Taipei, Taiwan, Province of China
Duration: 25 Jun 202330 Jun 2023

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2023-June
ISSN (Print)2157-8095

Conference

Conference2023 IEEE International Symposium on Information Theory, ISIT 2023
Country/TerritoryTaiwan, Province of China
CityTaipei
Period25/06/2330/06/23

Fingerprint

Dive into the research topics of 'Data Compression with Private Local Decodability'. Together they form a unique fingerprint.

Cite this