New imperfect random source with applications to coin-flipping

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We introduce a new imperfect random source that realistically generalizes the SV-source of Sántha and Vazirani [SV86] and the bit-fixing source of Lichtenstein, Linial and Saks [LLS89]. Our source is expected to generate a known sequence of (possibly dependent) random variables (for example, a stream of unbiased random bits). However, the realizations/observations of these variables could be imperfect in the following two ways: (1) inevitably, each of the observations could be slightly biased (due to noise, small measurements errors, imperfections of the source, etc.), which is characterized by the statistical noise parameter δ ε [0 1/2[, and (2) few of the observations could be completely incorrect (due to very poor measurement, improper setup, unlikely but certain internal correlations, etc.), which is characterized by the \number of errors" parameter b 0. While the SV-source considered only scenario (1), and the bit-fixing source

Original languageEnglish (US)
Title of host publicationAutomata, Languages and Programming - 28th International Colloquium, ICALP 2001, Proceedings
Pages297-309
Number of pages13
Volume2076 LNCS
StatePublished - 2001
Event28th International Colloquium on Automata, Languages and Programming, ICALP 2001 - Crete, Greece
Duration: Jul 8 2001Jul 12 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2076 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other28th International Colloquium on Automata, Languages and Programming, ICALP 2001
CountryGreece
CityCrete
Period7/8/017/12/01

Fingerprint

Imperfect
Measurement errors
Random variables
Defects
Dependent Random Variables
Imperfections
Measurement Error
Biased
Internal
Scenarios
Generalise
Observation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Dodis, Y. (2001). New imperfect random source with applications to coin-flipping. In Automata, Languages and Programming - 28th International Colloquium, ICALP 2001, Proceedings (Vol. 2076 LNCS, pp. 297-309). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2076 LNCS).

New imperfect random source with applications to coin-flipping. / Dodis, Yevgeniy.

Automata, Languages and Programming - 28th International Colloquium, ICALP 2001, Proceedings. Vol. 2076 LNCS 2001. p. 297-309 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2076 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dodis, Y 2001, New imperfect random source with applications to coin-flipping. in Automata, Languages and Programming - 28th International Colloquium, ICALP 2001, Proceedings. vol. 2076 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2076 LNCS, pp. 297-309, 28th International Colloquium on Automata, Languages and Programming, ICALP 2001, Crete, Greece, 7/8/01.
Dodis Y. New imperfect random source with applications to coin-flipping. In Automata, Languages and Programming - 28th International Colloquium, ICALP 2001, Proceedings. Vol. 2076 LNCS. 2001. p. 297-309. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Dodis, Yevgeniy. / New imperfect random source with applications to coin-flipping. Automata, Languages and Programming - 28th International Colloquium, ICALP 2001, Proceedings. Vol. 2076 LNCS 2001. pp. 297-309 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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