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On the concrete hardness of Learning with Errors

Open access
Albrecht, Martin R., Player, Rachel, Scott, Sam·2015·Journal of Mathematical Cryptology

Abstract

The learning with errors (LWE) problem has become a central building block of modern cryptographic constructions. This work collects and presents hardness results for concrete instances of LWE. In particular, we discuss algorithms proposed in the literature and give the expected resources required to run them. We consider both generic instances of LWE as well as small secret variants. Since for several methods of solving LWE we require a lattice reduction step, we also review lattice reduction algorithms and use a refined model for estimating their running times. We also give concrete estimates for various families of LWE instances, provide a Sage module for computing these estimates and highlight gaps in the knowledge about algorithms for solving the LWE problem.

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Metadata

Authors
Albrecht, M. R., Player, R., & Scott, S.
Venue
Journal of Mathematical Cryptology
Published
2015-10-01
Volume
9
Issue
3
Pages
169-203
ISSN
  • 1862-2976 (ISSN-L)
  • 1862-2984
OpenAlex
W2400700555
Cited by
861
References
2
FWCI
42.23
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: On the concrete hardness of Learning with Errors. https://app.cochat.ai/papers/10.1515/jmc-2015-0016
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Albrecht, M. R., Player, R., & Scott, S. (2015). On the concrete hardness of Learning with Errors. Journal of Mathematical Cryptology. https://doi.org/10.1515/jmc-2015-0016

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.