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Spectral
distortion and the ring learning with errors problem
Liljana Babinkostova, Ariana G. Chin, Aaron Kirtland, Vladyslav Nazarchuk and Esther Plotnick |
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Vol. 18 (2025), No. 2, 181–198
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Abstract |
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Certain attacks on the ring learning with errors (RLWE) problem rely on reduction to the polynomial variant (PLWE) of the problem. The spectral distortion is used to measure the RLWE-to-PLWE reduction. We investigate the spectral distortion and answer questions posed by Y. Elias et al. (2016) regarding spectral distortion used as a condition for a successful attack. We provide a closed form for the spectral distortion of certain classes of cyclotomic polynomials. Moreover, we present a bound on the spectral distortion of cyclotomic polynomials. |
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Keywords
learning with errors, spectral distortion, cyclotomic
polynomials
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Mathematical Subject Classification
Primary: 11T71, 94A60
Secondary: 11C20, 15B05
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Milestones
Received: 4 February 2022
Revised: 21 September 2022
Accepted: 10 September 2023
Published: 26 February 2025
Communicated by Kenneth S. Berenhaut
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Authors |
| Liljana Babinkostova | |
| Department of Mathematics Boise State University Boise, ID United States |
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| Ariana G. Chin | |
| Department of Mathematics University of California Los Angeles, CA United States |
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| Aaron Kirtland | |
| Washington University in St.
Louis St. Louis, MO United States |
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| Vladyslav Nazarchuk | |
| Yale University New Haven, CT United States |
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| Esther Plotnick | |
| Harvard University Cambridge, MA United States |
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| © 2025 MSP (Mathematical Sciences Publishers). |
