Paper 2011/437

Approximate common divisors via lattices

Henry Cohn and Nadia Heninger

Abstract

We analyze the multivariate generalization of Howgrave-Graham's algorithm for the approximate common divisor problem. In the $$-variable case with modulus $$ and approximate common divisor of size $$, this improves the size of the error tolerated from $$ to $$, under a commonly used heuristic assumption. This gives a more detailed analysis of the hardness assumption underlying the recent fully homomorphic cryptosystem of van Dijk, Gentry, Halevi, and Vaikuntanathan. While these results do not challenge the suggested parameters, a $$ approximation algorithm for lattice basis reduction in $$ dimensions could be used to break these parameters. We have implemented our algorithm, and it performs better in practice than the theoretical analysis suggests. Our results fit into a broader context of analogies between cryptanalysis and coding theory. The multivariate approximate common divisor problem is the number-theoretic analogue of noisy multivariate polynomial interpolation, and we develop a corresponding lattice-based algorithm for the latter problem. In particular, it specializes to a lattice-based list decoding algorithm for Parvaresh-Vardy and Guruswami-Rudra codes, which are multivariate extensions of Reed-Solomon codes. This yields a new proof of the list decoding radii for these codes.