Lattice Problems Beyond Polynomial Time
Divesh Aggarwal, Huck Bennett, Zvika Brakerski, Alexander, Golovnev, Rajendra Kumar, Zeyong Li, Spencer Peters, Noah, Stephens-Davidowitz, Vinod Vaikuntanathan

TL;DR
This paper explores the complexity of lattice problems in superpolynomial time, extending foundational worst-case to average-case reductions and protocols, and introduces new protocols and complexity barriers for larger approximation factors.
Contribution
It extends classical lattice problem reductions and protocols to superpolynomial time, providing new results and barriers for approximation factors beyond polynomial time.
Findings
Secret-key cryptography exists under superpolynomial time hardness assumptions.
Public-key cryptography can be based on superpolynomial time hardness of approximate SVP.
Established a superpolynomial time coAM protocol for approximate CVP.
Abstract
We study the complexity of lattice problems in a world where algorithms, reductions, and protocols can run in superpolynomial time, revisiting four foundational results: two worst-case to average-case reductions and two protocols. We also show a novel protocol. 1. We prove that secret-key cryptography exists if -approximate SVP is hard for -time algorithms. I.e., we extend to our setting (Micciancio and Regev's improved version of) Ajtai's celebrated polynomial-time worst-case to average-case reduction from -approximate SVP to SIS. 2. We prove that public-key cryptography exists if -approximate SVP is hard for -time algorithms. This extends to our setting Regev's celebrated polynomial-time worst-case to average-case reduction from -approximate SVP to LWE. In…
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Taxonomy
TopicsCryptography and Data Security · Complexity and Algorithms in Graphs · Coding theory and cryptography
