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        <datestamp>2024-03-06T10:59:46Z</datestamp>
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          <dc:title>Kolmogorov Complexity Characterizes Statistical Zero Knowledge</dc:title>
          <dc:creator>Allender, Eric</dc:creator>
          <dc:creator>Hirahara, Shuichi</dc:creator>
          <dc:creator>Tirumala, Harsha</dc:creator>
          <dc:subject>Kolmogorov Complexity</dc:subject>
          <dc:subject>Interactive Proofs</dc:subject>
          <dc:description>We show that a decidable promise problem has a non-interactive statistical zero-knowledge proof system if and only if it is randomly reducible via an honest polynomial-time reduction to a promise problem for Kolmogorov-random strings, with a superlogarithmic additive approximation term. This extends recent work by Saks and Santhanam (CCC 2022). We build on this to give new characterizations of Statistical Zero Knowledge SZK, as well as the related classes NISZK_L and SZK_L.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Eric Allender and Shuichi Hirahara and Harsha Tirumala</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 251, 14th Innovations in Theoretical Computer Science Conference (ITCS 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2023.3</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-175063</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2023.3</dc:identifier>
          <dc:language>eng</dc:language>
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