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Akademický článek

Star-Specific Key-Homomorphic PRFs From Learning With Linear Regression

Autor: Vipin Singh Sehrawat, Foo Yee Yeo, Dmitriy Vassilyev

Publikováno v: IEEE Access, Vol 11, Pp 73235-73267 (2023)

We introduce a novel method to derandomize the learning with errors (LWE) problem by generating deterministic yet sufficiently independent LWE instances that are constructed by using linear regression models, which are generated via (wireless) commun

Externí odkaz: https://doaj.org/article/5a1ca5ce646e422aa1782cae47b107c5

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Function-Private Conditional Disclosure of Secrets and Multi-evaluation Threshold Distributed Point Functions

Autor: Nolan Miranda, Foo Yee Yeo, Vipin Singh Sehrawat

Publikováno v: Cryptology and Network Security ISBN: 9783030925475

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::091202ae6a633d5c0cf5590b68e39984
https://doi.org/10.1007/978-3-030-92548-2_18

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Extremal Set Theory and LWE Based Access Structure Hiding Verifiable Secret Sharing with Malicious-Majority and Free Verification

Autor: Yvo Desmedt, Foo Yee Yeo, Vipin Singh Sehrawat

Secret sharing allows distributing a secret among several parties such that only authorized subsets, specified by an access structure, can reconstruct the secret. Sehrawat and Desmedt (COCOON 2020) introduced hidden access structures, that remain sec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65b10d0b13f348d242d29cf637a87a74

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