Abstract
A distribution is k-incompressible, Yao [FOCS'82], if no efficient compression scheme compresses it to less than k bits. While being a natural measure, its relation to other computational analogs of entropy such as pseudoentropy, Hastad, Impagliazzo, Levin, and Luby [SICOMP'99], and to other cryptographic hardness assumptions, was unclear. We advance towards a better understating of this notion, showing that a k-incompressible distribution has (k − 2) bits of next-block pseudoentropy, a refinement of pseudoentropy introduced by Haitner, Reingold, and Vadhan [SICOMP'13]. We deduce that a samplable distribution X that is (H(X) + 2)-incompressible, implies the existence of one-way functions.
Original language | English |
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Title of host publication | 14th Innovations in Theoretical Computer Science Conference, ITCS 2023 |
Editors | Yael Tauman Kalai |
Publisher | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
ISBN (Electronic) | 9783959772631 |
DOIs | |
State | Published - 1 Jan 2023 |
Externally published | Yes |
Event | 14th Innovations in Theoretical Computer Science Conference, ITCS 2023 - Cambridge, United States Duration: 10 Jan 2023 → 13 Jan 2023 |
Publication series
Name | Leibniz International Proceedings in Informatics, LIPIcs |
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Volume | 251 |
ISSN (Print) | 1868-8969 |
Conference
Conference | 14th Innovations in Theoretical Computer Science Conference, ITCS 2023 |
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Country/Territory | United States |
City | Cambridge |
Period | 10/01/23 → 13/01/23 |
Bibliographical note
Publisher Copyright:© Iftach Haitner, Noam Mazor, and Jad Silbak; licensed under Creative Commons License CC-BY 4.0.
Keywords
- incompressibility
- next-block pseudoentropy
- sparse languages
ASJC Scopus subject areas
- Software