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Revisiting the Expected Cost of Solving uSVP and Applications to LWE
[chapter]
2017
Lecture Notes in Computer Science
Reducing the Learning with Errors problem (LWE) to the Unique-SVP problem and then applying lattice reduction is a commonly relied-upon strategy for estimating the cost of solving LWE-based constructions. In the literature, two different conditions are formulated under which this strategy is successful. One, widely used, going back to Gama & Nguyen's work on predicting lattice reduction (Eurocrypt 2008) and the other recently outlined by Alkim et al. (USENIX 2016). Since these two estimates
doi:10.1007/978-3-319-70694-8_11
fatcat:zlbcl24wdfa37px5iztr3kfsra