Discriminatory lossy source coding: Side information privacy

Ravi Tandon, Lalitha Sankar, H. Vincent Poor

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

A lossy source coding problem is studied in which a source encoder communicates with two decoders, one with and one without correlated side information with an additional constraint on the privacy of the side information at the uninformed decoder. Two cases of this problem arise depending on the availability of the side information at the encoder. The set of all feasible rate-distortion-equivocation tuples is characterized for each case. The difference between the informed and uninformed cases and the advantages of encoder side information for enhancing privacy are highlighted for a binary symmetric source with erasure side information and Hamming distortion.

Original languageEnglish (US)
Article number6507243
Pages (from-to)5665-5677
Number of pages13
JournalIEEE Transactions on Information Theory
Volume59
Issue number9
DOIs
StatePublished - Aug 28 2013

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Keywords

  • Discriminatory coding
  • Heegard-Berger problem
  • Kaspi problem
  • equivocation
  • information privacy
  • informed and uninformed encoders
  • lossy source coding
  • side information

Fingerprint Dive into the research topics of 'Discriminatory lossy source coding: Side information privacy'. Together they form a unique fingerprint.

Cite this