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conference paper

One-Way Functions vs. TFNP: Simpler and Improved

Folwarczný, Lukáš
•
Göös, Mika  
•
Hubá Ek, Pavel
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Guruswami, Venkatesan
January 1, 2024
Leibniz International Proceedings in Informatics, LIPIcs
15 Innovations in Theoretical Computer Science Conference

Simon (1998) proved that it is impossible to construct collision-resistant hash functions from one-way functions using a black-box reduction. It is conjectured more generally that one-way functions do not imply, via a black-box reduction, the hardness of any total NP search problem (collision-resistant hash functions being just one such example). We make progress towards this conjecture by ruling out a large class of "single-query" reductions. In particular, we improve over the prior work of Hubá ek et al. (2020) in two ways: our result is established via a novel simpler combinatorial technique and applies to a broader class of semi black-box reductions.

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Type
conference paper
DOI
10.4230/LIPIcs.ITCS.2024.50
Scopus ID

2-s2.0-85184138322

Author(s)
Folwarczný, Lukáš

Academy of Sciences of the Czech Republic

Göös, Mika  

École Polytechnique Fédérale de Lausanne

Hubá Ek, Pavel

Academy of Sciences of the Czech Republic

Maystre, Gilbert  

École Polytechnique Fédérale de Lausanne

Yuan, Weiqiang  

École Polytechnique Fédérale de Lausanne

Editors
Guruswami, Venkatesan
Date Issued

2024-01-01

Publisher

Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing

Published in
Leibniz International Proceedings in Informatics, LIPIcs
ISBN of the book

9783959773096

Book part number

287

Article Number

50

Subjects

Black-Box

•

One-Way Functions

•

Oracle

•

Separation

•

TFNP

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
THL5  
THL2  
Event nameEvent acronymEvent placeEvent date
15 Innovations in Theoretical Computer Science Conference

Berkeley, United States

2024-01-30 - 2024-02-02

FunderFunding(s)Grant NumberGrant URL

Swiss National Science Foundation

200021-184656

Grant Agency of the Czech Republic

19-27871X

Academy of Sciences of the Czech Republic

RVO 67985840

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Available on Infoscience
January 26, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/245102
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