English

A Note on Banaszczyk's Inequality

Cryptography and Security 2026-05-12 v1 Probability

Abstract

Banaszczyk's inequality establishes a tail estimate for the discrete Gaussian measure on a lattice in Rn\mathbb{R}^n. This classic result has been influential and plays an important role in lattice-based cryptography. An improvement of the inequality with a transparent proof was given by Tian, Liu and Xu. In this note, we further improve this inequality by imposing an appropriate condition, obtaining a significantly better bound. This refined inequality can be used to investigate dual attacks against the Learning With Errors (LWE) problem.

Cite

@article{arxiv.2605.10461,
  title  = {A Note on Banaszczyk's Inequality},
  author = {Hongyuan Qu and Chengliang Tian and Guangwu Xu},
  journal= {arXiv preprint arXiv:2605.10461},
  year   = {2026}
}