Spectral distortion and the ring learning with errors problem

Liljana Babinkostova, Ariana G. Chin, Aaron Kirtland, Vladyslav Nazarchuk, Esther Plotnick

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)181-198
Number of pages18
JournalInvolve
Volume18
Issue number2
DOIs
StatePublished - 1 Feb 2025

Keywords

  • cyclotomic polynomials
  • learning with errors
  • spectral distortion

Fingerprint

Dive into the research topics of 'Spectral distortion and the ring learning with errors problem'. Together they form a unique fingerprint.

Cite this