Improved hardness results for unique shortest vector problem

Abstract

We give several improvements on the known hardness of the unique shortest vector problem. - We give a deterministic reduction from the shortest vector problem to the unique shortest vector problem. As a byproduct, we get deterministic NP-hardness for unique shortest vector problem in the ∞ norm. - We give a randomized reduction from SAT to uSVP1+1/poly(n). This shows that uSVP1+1/poly(n) is NP-hard under randomized reductions. - We show that if GapSVPγ ∈ coNP (or coAM) then uSVPγ ∈ coNP (coAM respectively). This simplifies previously known uSVPn1/4 ∈ coAM proof by Cai Cai98 to uSVP(n/ n)1/4 ∈ coAM, and additionally generalizes it to uSVPn1/4 ∈ coNP. - We give a deterministic reduction from search-uSVPγ to the decision-uSVPγ/2. We also show that the decision-uSVP is NP-hard for randomized reductions, which does not follow from Kumar-Sivakumar KS01.

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