Solving low-density subset sum problems
Journal of the ACM (JACM)
Improved low-density subset sum algorithms
Computational Complexity
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Improved generic algorithms for hard knapsacks
EUROCRYPT'11 Proceedings of the 30th Annual international conference on Theory and applications of cryptographic techniques: advances in cryptology
New generic algorithms for hard knapsacks
EUROCRYPT'10 Proceedings of the 29th Annual international conference on Theory and Applications of Cryptographic Techniques
Hiding information and signatures in trapdoor knapsacks
IEEE Transactions on Information Theory
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At Eurocrypt2011, Becker, Coron and Joux proposed an algorithm for solving hard knapsacks, i.e., knapsacks with a density close to 1. Their algorithm solves hard knapsacks in time $\tilde{O}(2^{0.2909n})$. In this paper, we evaluate their algorithm by O notation and prove that the running time is O(n3.5 ·20.2909n). Furthermore, we extend their algorithm and propose the algorithm of which running time is O(n3 ·20.2919n). Asymptotic running time of our algorithm is not faster. However, when n