On the Quantitative Hardness of CVP

Speaker: Noah Stephens-Davidowitz , NYU

Date: Friday, May 26, 2017

Time: 10:30 AM to 12:00 PM

Public: Yes

Location: 32-G882

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Host: Vinod Vaikuntanathan, MIT

Contact: Joanne Talbot Hanley, 61-253-6054, joanne@csail.mit.edu

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Reminders to: cis-seminars@csail.mit.edu, seminars@csail.mit.edu

Reminder Subject: TALK: CIS Seminar: Noah Stephens-Davidowitz, "On the Quantitative Hardness of CVP"-- FRIDAY, May 26!

Abstract: For odd integers p >= 1 (and p=\infty), we show that the Closest Vector Problem in the \ell_p norm (CVP_p) over rank n lattices cannot be solved in 2^{(1?\eps)n} time for any constant \eps > 0 unless the Strong Exponential Time Hypothesis (SETH) fails. We then extend this result to “almost all” values of p>=1, not including the even integers. This comes tantalizingly close to settling the quantitative time complexity of the important special case of CVP_2 (i.e., CVP in the Euclidean norm), for which a 2^{n+o(n)}-time algorithm is known. In particular, our result applies for any p=p(n) =/= 2 that approaches 2 as n goes to infinity.

Based on joint work with Huck Bennett and Sasha Golovnev.

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Created by Joanne Talbot Hanley Email at Thursday, May 25, 2017 at 1:14 PM.