Preprint
Aug 2026
One-Sided-Error Parameterized Reductions for the Minimum Distance and Shortest Vector Problems
The usefulness of one-sided-error randomized reductions is demonstrated by showing that they can be conditionally derandomized when the target problem has an OR function, and a general theorem formalizing this derandomization is proved.
Shuichi Hirahara, Kazuki Ogitsuka
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