Solving low-density subset sum problems
Journal of the ACM (JACM)
The hardness of approximate optima in lattices, codes, and systems of linear equations
Journal of Computer and System Sciences - Special issue: papers from the 32nd and 34th annual symposia on foundations of computer science, Oct. 2–4, 1991 and Nov. 3–5, 1993
The shortest vector problem in L2 is NP-hard for randomized reductions (extended abstract)
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
SIAM Journal on Computing
A sieve algorithm for the shortest lattice vector problem
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Complexity of Lattice Problems
Complexity of Lattice Problems
Hardness Results for Coloring 3 -Colorable 3 -Uniform Hypergraphs
FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
Improved algorithms for integer programming and related lattice problems
STOC '83 Proceedings of the fifteenth annual ACM symposium on Theory of computing
The inapproximability of lattice and coding problems with preprocessing
Journal of Computer and System Sciences - Special issue on computational complexity 2002
FOCS '04 Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science
A New Multilayered PCP and the Hardness of Hypergraph Vertex Cover
SIAM Journal on Computing
The hardness of the closest vector problem with preprocessing
IEEE Transactions on Information Theory
Improved inapproximability of lattice and coding problems with preprocessing
IEEE Transactions on Information Theory
Limits on the Hardness of Lattice Problems in lp Norms
Computational Complexity
Proceedings of the forty-second ACM symposium on Theory of computing
On bounded distance decoding for general lattices
APPROX'06/RANDOM'06 Proceedings of the 9th international conference on Approximation Algorithms for Combinatorial Optimization Problems, and 10th international conference on Randomization and Computation
2log1-ε n hardness for the closest vector problem with preprocessing
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
ICALP'12 Proceedings of the 39th international colloquium conference on Automata, Languages, and Programming - Volume Part I
Theoretical Computer Science
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We show that, unless NP\subseteqDTIME(2^{poly\log (n)}), the closest vector problem with pre-processing, for \ell \rho norm for any p \ge 1, is hard to approximate within a factor of (\log n)^{1/p - \ell } for any \varepsilon 0. This improves the previous best factor of 3^{1/p} - \varepsilon due to Regev [19]. Our results also imply that under the same complexity assumption, the nearest codeword problem with pre-processing is hard to approximate within a factor of (\log n)^{1 - \varepsilon }for any \varepsilon 0.