License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CCC.2018.7
URN: urn:nbn:de:0030-drops-88824
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8882/
Impagliazzo, Russell ;
Kabanets, Valentine ;
Volkovich, Ilya
The Power of Natural Properties as Oracles
Abstract
We study the power of randomized complexity classes that are given oracle access to a natural property of Razborov and Rudich (JCSS, 1997) or its special case, the Minimal Circuit Size Problem (MCSP). We show that in a number of complexity-theoretic results that use the SAT oracle, one can use the MCSP oracle instead. For example, we show that ZPEXP^{MCSP} !subseteq P/poly, which should be contrasted with the previously known circuit lower bound ZPEXP^{NP} !subseteq P/poly. We also show that, assuming the existence of Indistinguishability Obfuscators (IO), SAT and MCSP are equivalent in the sense that one has a ZPP algorithm if and only the other one does. We interpret our results as providing some evidence that MCSP may be NP-hard under randomized polynomial-time reductions.
BibTeX - Entry
@InProceedings{impagliazzo_et_al:LIPIcs:2018:8882,
author = {Russell Impagliazzo and Valentine Kabanets and Ilya Volkovich},
title = {{The Power of Natural Properties as Oracles}},
booktitle = {33rd Computational Complexity Conference (CCC 2018)},
pages = {7:1--7:20},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-069-9},
ISSN = {1868-8969},
year = {2018},
volume = {102},
editor = {Rocco A. Servedio},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2018/8882},
URN = {urn:nbn:de:0030-drops-88824},
doi = {10.4230/LIPIcs.CCC.2018.7},
annote = {Keywords: natural properties, Minimal Circuit Size Problem (MCSP), circuit lower bounds, hardness of MCSP, learning algorithms, obfuscation, Indistinguishabilit}
}
Keywords: |
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natural properties, Minimal Circuit Size Problem (MCSP), circuit lower bounds, hardness of MCSP, learning algorithms, obfuscation, Indistinguishabilit |
Collection: |
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33rd Computational Complexity Conference (CCC 2018) |
Issue Date: |
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2018 |
Date of publication: |
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04.06.2018 |