2020
DOI: 10.1007/978-3-030-41672-0_6
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On Nonadaptive Reductions to the Set of Random Strings and Its Dense Subsets

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Cited by 4 publications
(4 citation statements)
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“…These results attracted considerable attention, because prior work had indicated that such worst-case-to-average-case reductions would be impossible to prove using black-box techniques. Additional work has given further evidence that the techniques of [27] are inherently non-black-box [32].…”
Section: Average Case Complexity One-way Functions and Cryptographymentioning
confidence: 99%
See 1 more Smart Citation
“…These results attracted considerable attention, because prior work had indicated that such worst-case-to-average-case reductions would be impossible to prove using black-box techniques. Additional work has given further evidence that the techniques of [27] are inherently non-black-box [32].…”
Section: Average Case Complexity One-way Functions and Cryptographymentioning
confidence: 99%
“…I won't repeat that discussion here, because both of those conjectures have been disproved (barring some extremely unlikely complexity class collapses). Taken together, the papers [32], [29], and [28] give a much better understanding of the classes of languages reducible to the Kolmogorov-random strings.…”
Section: Complexity Classes and Noncomputable Complexity Measuresmentioning
confidence: 99%
“…These results attracted considerable attention, because prior work had indicated that such worst-case-to-average-case reductions would be impossible to prove using black-box techniques. Additional work has given further evidence that the techniques of [19] are inherently nonblack-box [24].…”
Section: Average Case Complexity One-way Functionsmentioning
confidence: 99%
“…I won't repeat that discussion here, because both of those conjectures have been disproved (barring some extremely unlikely complexity class collapses). Taken together, the papers [21,24], and [20] give a much better understanding of the classes of languages reducible to the Kolmogorov-random strings.…”
Section: Complexity Classes and Noncomputable Complexity Measuresmentioning
confidence: 99%