Paper 2025/1644

Fast Pseudorandom Correlation Functions from Sparse LPN

Lennart Braun, Université Paris Cité, French National Centre for Scientific Research, IRIF
Geoffroy Couteau, Université Paris Cité, French National Centre for Scientific Research, IRIF
Kelsey Melissaris, Chalmers University of Technology
Mahshid Riahinia, École Normale Supérieure - PSL, French National Centre for Scientific Research
Elahe Sadeghi, The University of Texas at Austin
Abstract

We introduce a new and efficient pseudorandom correlation function whose security reduces to the sparse LPN assumption in the random oracle model. Our construction is the first to achieve high concrete efficiency while relying on well-established assumptions: previous candidates either required introducing new assumptions, or had poor concrete performances. We complement our result with an in-depth analysis of the sparse LPN assumption, providing new insight on how to evaluate the strength of concrete sets of parameters.

Note: Corrected asymptotic parameters in Section 3.1 and the computed values of the dual distance in Section 4.3.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
A major revision of an IACR publication in ASIACRYPT 2025
DOI
10.1007/978-981-95-5122-4_14
Keywords
PCFSparse LPNVOLEOT
Contact author(s)
lbraun @ irif fr
couteau @ irif fr
kelseym @ chalmers se
mahshid riahinia @ ens fr
elahesadeghi @ utexas edu
History
2026-01-12: last of 2 revisions
2025-09-11: received
See all versions
Short URL
https://ia.cr/2025/1644
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2025/1644,
      author = {Lennart Braun and Geoffroy Couteau and Kelsey Melissaris and Mahshid Riahinia and Elahe Sadeghi},
      title = {Fast Pseudorandom Correlation Functions from Sparse {LPN}},
      howpublished = {Cryptology {ePrint} Archive, Paper 2025/1644},
      year = {2025},
      doi = {10.1007/978-981-95-5122-4_14},
      url = {https://eprint.iacr.org/2025/1644}
}
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