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Abstract

Given a Gaussian matrix X, a Gaussian Leftover Hash Lemma (LHL) states that X·v for a Gaussian v is an essentially independent Gaussian sample. It has seen numerous applications in cryptography for hiding sensitive distributions of v. We generalise the Gaussian LHL initially stated over Z by Agrawal, Gentry, Halevi, and Sahai (2013) to modules over number fields. Our results have a sub-linear dependency on the degree of the number field and require only polynomial norm growth: v/X. To this end, we also prove when X is surjective (assuming the Generalised Riemann Hypothesis) and give bounds on the smoothing parameter of the kernel of X. We also establish when the resulting distribution is independent of the geometry of X and establish the hardness of the k-SIS and k-LWE problems over modules (k-M-SIS/k-M-LWE) based on the hardness of SIS and LWE over modules (M-SIS/M-LWE) respectively, which was assumed without proof in prior works.

Original languageEnglish
Title of host publicationAdvances in Cryptology – EUROCRYPT 2026 : 45th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Rome, Italy, May 10–14, 2026, Proceedings, Part IV
EditorsJoan Daemen, Emmanuel Thomé
PublisherSpringer
Pages124-153
Number of pages30
Volume4
ISBN (Electronic)978-3-032-25327-9
ISBN (Print)978-3-032-25326-2
DOIs
Publication statusPublished - 2026
MoE publication typeA4 Conference publication
EventAnnual International Conference on the Theory and Applications of Cryptographic Techniques - Rome, Italy
Duration: 10 May 202614 May 2026
Conference number: 45

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume16544
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceAnnual International Conference on the Theory and Applications of Cryptographic Techniques
Abbreviated titleEUROCRYPT
Country/TerritoryItaly
CityRome
Period10/05/202614/05/2026

Funding

Martin Albrecht’s and Joël Felderhoff’s work is supported by UKRI grant EP/Y02432X/1. Russell W. F. Lai and Ivy K. Y. Woo are supported by the Research Council of Finland projects No. 358951 and 358950 respectively. Oleksandra Lapiha was supported by the EPSRC and the UK Government as part of the Centre for Doctoral Training in Cyber Security for the Everyday at Royal Holloway, University of London (EP/S021817/1).

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