Indexed metadata

Algorithms for the approximate common divisor problem

Steven D. Galbraith, Shishay W. Gebregiyorgis, Sean Murphy

Source record

Source: Crossref

Published: Jan 1, 2016

DOI: 10.1112/s1461157016000218

Open original source ↗

Source abstract

The security of several homomorphic encryption schemes depends on the hardness of variants of the approximate common divisor (ACD) problem. We survey and compare a number of lattice-based algorithms for the ACD problem, with particular attention to some very recently proposed variants of the ACD problem. One of our main goals is to compare the multivariate polynomial approach with other methods. We find that the multivariate polynomial approach is not better than the orthogonal lattice algorithm for practical cryptanalysis. We also briefly discuss a sample-amplification technique for ACD samples and a pre-processing algorithm similar to the Blum–Kalai–Wasserman algorithm for learning parity with noise. The details of this work are given in the full version of the paper.

Evidence graph

No public relationships recorded yet.

Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.

Algorithms for the approximate common divisor problem — Mathematical Frontier Network