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Gengran Hu – Hangzhou Dianzi University

September 24, 2018 @ 4:30 pm - 6:30 pm EDT

On reductions from subset sum problem to shortest vector problem.

The shortest vector problem (SVP) is a fundamental problem in lattice theory and its applications in cryptography. The hardness of SVP is established by constructing reductions from the subset sum problem to SVP. In this talk, we shall show how to use -norm SVP Oracle to solve the subset sum problem with various densities.

Details

Date:
September 24, 2018
Time:
4:30 pm - 6:30 pm EDT
Event Categories:
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Venue

Martin M-102
405 S Palmetto Blvd
Clemson, SC 29634 United States
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