AbstractWe show SVP∞ and CVP∞ to be NP-hard to approximate to within nc/loglogn for some constant c>0. We show a direct reduction from SAT to these problems, that combines ideas from Arora et al. (Proc. 34th IEEE Symp. on Foundations of Computer Science, 1993, p. 724) and Dinur et al. (Approximating-CVP to within almost-polynomial factors is NP-hard, manuscript, 1999), along with some modifications. Our result is obtained without relying on the PCP characterization of NP, although some of our techniques are derived from the proof of the PCP characterization itself (STOC: ACM Symposium on Theory of Computing (STOC), 1999)
AbstractWe prove that the closest vector problem with preprocessing (CVPP) is NP-hard to approximate...
Recent work [BGS17,ABGS19] has shown SETH hardness of some constant factor approximate CVP in the $\...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...
AbstractWe show SVP∞ and CVP∞ to be NP-hard to approximate to within nc/loglogn for some constant c>...
AbstractWe show simple constant-round interactive proof systems for problems capturing the approxima...
AbstractWe present a new hardness of approximation result for the Shortest Vector Problem in ℓp norm...
AbstractRecently Ajtai showed that to approximate the shortest lattice vector in the l2-norm within ...
This paper shows the problem of finding the closest vector in an n-dimensional lattice to be NPhard ...
AbstractWe prove the following about the Nearest Lattice Vector Problem (in anylpnorm), the Nearest ...
We show that a constant factor approximation of the shortest and closest lattice vector problem w.r....
International audienceWe show that unless NP⊆RTIME(2poly(logn)), there is no polynomial-time algorit...
AbstractRecently Ajtai showed that to approximate the shortest lattice vector in the l2-norm within ...
We show simple constant-round interactive proof systems for problems capturing the approximability, ...
We show the first dimension-preserving search-to-decision reductions for approximate SVP and CVP. In...
AbstractWe show simple constant-round interactive proof systems for problems capturing the approxima...
AbstractWe prove that the closest vector problem with preprocessing (CVPP) is NP-hard to approximate...
Recent work [BGS17,ABGS19] has shown SETH hardness of some constant factor approximate CVP in the $\...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...
AbstractWe show SVP∞ and CVP∞ to be NP-hard to approximate to within nc/loglogn for some constant c>...
AbstractWe show simple constant-round interactive proof systems for problems capturing the approxima...
AbstractWe present a new hardness of approximation result for the Shortest Vector Problem in ℓp norm...
AbstractRecently Ajtai showed that to approximate the shortest lattice vector in the l2-norm within ...
This paper shows the problem of finding the closest vector in an n-dimensional lattice to be NPhard ...
AbstractWe prove the following about the Nearest Lattice Vector Problem (in anylpnorm), the Nearest ...
We show that a constant factor approximation of the shortest and closest lattice vector problem w.r....
International audienceWe show that unless NP⊆RTIME(2poly(logn)), there is no polynomial-time algorit...
AbstractRecently Ajtai showed that to approximate the shortest lattice vector in the l2-norm within ...
We show simple constant-round interactive proof systems for problems capturing the approximability, ...
We show the first dimension-preserving search-to-decision reductions for approximate SVP and CVP. In...
AbstractWe show simple constant-round interactive proof systems for problems capturing the approxima...
AbstractWe prove that the closest vector problem with preprocessing (CVPP) is NP-hard to approximate...
Recent work [BGS17,ABGS19] has shown SETH hardness of some constant factor approximate CVP in the $\...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...