,
Sami Cherif
,
Claire Delaplace
Creative Commons Attribution 4.0 International license
The Large Weight Syndrome Decoding problem LWSD is a fundamental problem in coding theory. It consists in determining whether a given linear code admits a high Hamming weight vector associated with a specific syndrome. LWSD is a variant of the classical syndrome decoding problem, which conversely seeks a low Hamming weight solution for a linear system defined over the binary field 𝔽₂. In this paper, we investigate a generalization of this problem to the case of a prime finite field 𝔽_Z, referred to as LWZSD. We propose several models using Boolean Satisfiability (SAT) formulas and compare the efficiency of our approaches using state-of-the-art solvers.
@InProceedings{berton_et_al:LIPIcs.CP.2026.5,
author = {Berton, Carl and Cherif, Sami and Delaplace, Claire},
title = {{Satisfiability for Large Weight Syndrome Decoding}},
booktitle = {32nd International Conference on Principles and Practice of Constraint Programming (CP 2026)},
pages = {5:1--5:17},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-432-1},
ISSN = {1868-8969},
year = {2026},
volume = {379},
editor = {Beldiceanu, Nicolas},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2026.5},
URN = {urn:nbn:de:0030-drops-266385},
doi = {10.4230/LIPIcs.CP.2026.5},
annote = {Keywords: Large Weight Syndrome Decoding, Satisfiability, Cryptography}
}
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