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Learning with errors

Known as: LWE, Learning with error, R-LWE 
Learning with errors (LWE) is a problem in machine learning that is conjectured to be hard to solve. Introduced by Oded Regev in 2005, it is a… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Evaluating the practical security of Ring-LWE based cryptography has attracted lots of efforts recently. Indeed, some differences… 
2017
2017
We construct a delegation scheme for verifying non-deterministic computations, with complexity proportional only to the non… 
2017
2017
Since NSA announced the plans for transitioning to the algorithms which are resistant to attacks by the potential quantum… 
2015
2015
This work describes the design and implementation of Λ◦λ, a general-purpose software library for lattice cryptography, written in… 
2015
2015
Security parameters and attack countermeasures for Lattice-based cryptosystems have not yet matured to the level that we now… 
2015
2015
A genome-wide association study aimed at finding genetic variations associated with a particular disease is a common approach… 
2015
2015
Human identification protocols are challenge-response protocols that rely on human computational ability to reply to random… 
2014
2014
We present a universally composable multiparty computation protocol that is adaptively secure against corruption of n − 1 of the… 
2013
2013
We introduce software for the generation of instances of the LWE and Ring-LWE problems, allowing both the generation of generic… 
2002
2002
The objective of this research was to investigate the applicability of non-thermal treatments for the processing of liquid whole…