Pseudorandom Correlation Functions
Primitives that let two parties expand short correlated keys into unbounded correlated pseudorandomness on demand, and the generators (PCGs) they extend – the machinery behind silent secure computation.
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Subexponential-query PCF from sparse LPN Open in both directions, and the source paper poses it as a question rather than conjecturing an answer; the affirmative direction is this page’s reading. The one follow-up construction from sparse LPN inherits the same superpolynomial ceiling and says so. 6 open |
Learning Parity With NoisePseudorandom Correlation FunctionsRandom Oracle Modelromassumption | |
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Standard-model weak PCF from sparse LPN Open, posed by the source as its second open question with an obstruction it names explicitly; the affirmative direction is this page’s reading. An independent follow-up construction reports the same random oracle as inherent to the same recursion. 6 open |
Learning Parity With NoisePseudorandom Correlation FunctionsRandom Oracle Modelassumption | |
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EA-Code Distance over Rings Theorem 3.10 of the source proves the distance bound over F_2 only. Over a ring of size q its proof technique forces the rate to satisfy R much less than 1/ln q, which the source states it believes is an artefact of the argument, supported by small-parameter weight-distribution experiments over F_17 and Z_16. 5 open |
Code Based CryptographyDual DistanceLearning Parity With NoisePseudorandom Correlation Functionslower-boundadaptation (ai) | |
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Quasi-Abelian GV, Growing Group Named as a conjecture by the source, which says the development is out of reach of the article. It is what makes the choice of group free in the QA-SD line: resistance to every linear test, for any abelian G, reduces to it. Partially advanced in 2026 by concrete non-asymptotic bounds for particular groups, which restate the general question as open. 5 open |
Code Based CryptographyDual DistancePseudorandom Correlation FunctionsSyndrome Decodinglower-boundadaptation (ai) |
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