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Pseudorandom Generators for Low Sensitivity Functions

Authors Pooya Hatami, Avishay Tal

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Pooya Hatami
Avishay Tal

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Pooya Hatami and Avishay Tal. Pseudorandom Generators for Low Sensitivity Functions. In 9th Innovations in Theoretical Computer Science Conference (ITCS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 94, pp. 29:1-29:13, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2018)


A Boolean function is said to have maximal sensitivity s if s is the largest number of Hamming neighbors of a point which differ from it in function value. We initiate the study of pseudorandom generators fooling low-sensitivity functions as an intermediate step towards settling the sensitivity conjecture. We construct a pseudorandom generator with seed-length 2^{O(s^{1/2})} log(n) that fools Boolean functions on n variables with maximal sensitivity at most s. Prior to our work, the (implicitly) best pseudorandom generators for this class of functions required seed-length 2^{O(s)} log(n).
  • Pseudorandom Generators
  • Sensitivity
  • Sensitivity Conjecture


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