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In computational complexity, worst-case to average-case reduction refers to a reduction showing that solving random instances of a problem would solve its hardest instances, first given for lattice problems. This meaning comes from Ajtai (1996) in Proceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96.[1]
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