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Guessing Based on Compressed Side Information

Robert Graczyk, Amos Lapidoth, Neri Merhav, Christoph Pfister

Research output: Contribution to journalArticlepeer-review

Abstract

A source sequence is to be guessed with some fidelity based on a rate-limited description of an observed sequence with which it is correlated. The tension between the description rate and the exponential growth rate of the power mean of the required number of guesses is quantified. This can be viewed as the guessing version of the classical indirect-rate-distortion problem of Dobrushin-Tsybakov'62 and Witsenhausen'80. Judicious choices of the correlated sequence, the description rate, and the fidelity criterion recover a number of recent and classical results on guessing. In the context of security, the paper provides conservative estimates on a password's remaining security after a number of bits from a correlated database have been leaked.

Original languageEnglish
Pages (from-to)4244-4256
Number of pages13
JournalIEEE Transactions on Information Theory
Volume68
Issue number7
DOIs
StatePublished - 1 Jul 2022

Keywords

  • Compression
  • Guessing
  • Helper
  • Remote Helper
  • Side Information

All Science Journal Classification (ASJC) codes

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

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