activity
20072018
most citedSemantically Secure Lattice Codes for the Gaussian Wiretap Channel

192 citations · 482 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SC2018★ 1 cited

Computing an LLL-reduced basis of the orthogonal lattice

Jingwei Chen, Damien Stehlé, Gilles Villard

As a typical application, the Lenstra-Lenstra-Lovasz lattice basis reduction algorithm (LLL) is used to compute a reduced basis of the orthogonal lattice for a given integer matrix…

cs.CR2017★ 3 cited

Learning With Errors and Extrapolated Dihedral Cosets

Zvika Brakerski, Elena Kirshanova, Damien Stehlé +1

The hardness of the learning with errors (LWE) problem is one of the most fruitful resources of modern cryptography. In particular, it is one of the most prominent candidates for s…

cs.CC2013★ 41 cited

Classical Hardness of Learning with Errors

Zvika Brakerski, Adeline Langlois, Chris Peikert +2

We show that the Learning with Errors (LWE) problem is classically at least as hard as standard worst-case lattice problems, even with polynomial modulus. Previously this was only…

cs.IT2012★ 192 cited

Semantically Secure Lattice Codes for the Gaussian Wiretap Channel

Cong Ling, Laura Luzzi, Jean-Claude Belfiore +1

We propose a new scheme of wiretap lattice coding that achieves semantic security and strong secrecy over the Gaussian wiretap channel. The key tool in our security proof is the fl…

cs.IT2011★ 28 cited

Decoding by Embedding: Correct Decoding Radius and DMT Optimality

Laura Luzzi, Damien Stehle, Cong Ling

The closest vector problem (CVP) and shortest (nonzero) vector problem (SVP) are the core algorithmic problems on Euclidean lattices. They are central to the applications of lattic…

cs.IT2010★ 65 cited

Decoding by Sampling: A Randomized Lattice Algorithm for Bounded Distance Decoding

Shuiyin Liu, Cong Ling, Damien Stehlé

Despite its reduced complexity, lattice reduction-aided decoding exhibits a widening gap to maximum-likelihood (ML) performance as the dimension increases. To improve its performan…