From: "Thiemann, René" <Rene.Thiemann@uibk.ac.at>
Dear all,
I’m happy to announce the following new AFP-entry.
Hardness of Lattice Problems
by Katharina Kreuzer
This article formalizes the NP-hardness proofs of the Closest Vector Problem
(CVP) and the Shortest Vector Problem (SVP) in maximum norm as well as the CVP
in any p-norm for p>=1. CVP and SVP are two fundamental problems in lattice
theory. Lattices are a discrete, additive subgroup of R^n and are used for
lattice-based cryptography. The CVP asks to find the nearest lattice vector to a
target. The SVP asks to find the shortest non-zero lattice vector. This entry
formalizes the basic properties of lattices, the reduction from CVP to Subset
Sum in both maximum and p-norm for a finite p with 1<= p and the reduction of
SVP to Partition using the Bounded Homogeneous Linear Equations problem (BHLE)
as an intermediate step. The formalization uncovered a number of problems with
the existing proofs in the literature.
https://www.isa-afp.org/entries/CVP_Hardness.html
Enjoy,
René
Last updated: Jan 04 2025 at 20:18 UTC