DEEP-FRI: Sampling Outside the Box Improves Soundness

Electronic Colloquium on Computational Complexity, pp. 3362019.

Cited by: 11|Views66
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Abstract:

Motivated by the quest for scalable and succinct zero knowledge arguments, we revisit worst-case-to-average-case reductions for linear spaces, raised by [Rothblum, Vadhan, Wigderson, STOC 2013]. first show a sharp quantitative form of a theorem which says that if an affine space $U$ is $delta$-far in relative Hamming distance from a line...More

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