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Pure randomness extracted from two poor sources

Published:20 December 2016Publication History
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Abstract

Developments from several disparate areas of computer science provide "a huge jump, both technically and also quantitatively."

References

  1. Chattopadhyay, E., and Zuckerman, D., Explicit Two-Source Extractors and Resilient Functions, Electronic Colloquium on Computational Complexity, Revision 2 of Report No. 119 (2015), http://eccc.hpi-web.de/report/2015/119/. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Chattopadhyay, E., and Zuckerman, D., How random is your randomness, and why does it matter? TheConversation.com, Sept. 18, 2016, https://theconversation.com/how-random-is-your-randomness-and-why-does-it-matter-59958.Google ScholarGoogle Scholar
  3. Recommendation for the Entropy Sources Used for Random Bit Generation, (Second draft January 2016), National Institute of Standards and Technology Special Publication 800-90B, http://csrc.nist.gov/publications/PubsDrafts.html#800-90B.Google ScholarGoogle Scholar
  4. Wigderson, A., Center for the Study of Rationality, Randomness. https://www.youtube.com/watch?v=syUxHJFwwQQ.Google ScholarGoogle Scholar

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  1. Pure randomness extracted from two poor sources

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    • Published in

      cover image Communications of the ACM
      Communications of the ACM  Volume 60, Issue 1
      January 2017
      95 pages
      ISSN:0001-0782
      EISSN:1557-7317
      DOI:10.1145/3028256
      • Editor:
      • Moshe Y. Vardi
      Issue’s Table of Contents

      Copyright © 2016 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 December 2016

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