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J-GLOBAL ID:201502216807373384   Reference number:15A0259595

An Accelerated Algorithm for Solving SVP Based on Statistical Analysis

統計分析に基づくSVPを解くための加速アルゴリズム
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Material:
Volume: 23  Issue:Page: 67-80 (J-STAGE)  Publication year: 2015 
JST Material Number: U0109A  ISSN: 1882-6652  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Code theory  ,  Theory of computation  ,  Numerical computation 
Reference (16):
  • [1] Ajtai, M.: The Shortest Vector Problem in L2 is NP-hard for Randomized Reductions (Extended Abstract), Proc. 30th Annual ACM Symposium on Theory of Computing, pp.10-19 (1998).
  • [2] Buchmann, J. and Ludwig, C.: Practical Lattice Basis Sampling Reduction, Proc. ANTS 2006, LNCS, Vol.4076, pp.222-237 (2005).
  • [3] Chen, Y. and Nguyen, P.Q.: BKZ2.0: Better Lattice Security Estimates, ASIACRYPT 2011, LNCS, Vol.7073, pp.1-20 (2011).
  • [4] Gama, N. and Nguyen, P.Q.: Predicting Lattice Reduction, EUROCRYPT 2008, LNCS, Vol.4965, pp.31-51 (2008).
  • [5] Gama, N., Nguyen, P.Q. and Regev, O.: Lattice Enumeration Using Extreme Pruning, EUROCRYPT 2010, LNCS, Vol.6110, pp.257-278 (2010).
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