Extractors are functions which are able to "extract" random bits from arbitrary distributions which "contain" sufficient randomness. Explicit constructions of ...
Randomness extractors are efficient algorithms which convert weak random sources into nearly perfect ones. While such purification of randomness was the original motivation for c...
We consider the problem of constructing randomness extractors that are locally computable; that is, read only a small number of bits from their input. As recently shown by Lu (thi...
An extractor is a function that is used to extract randomness. Given an imperfect random source X and a uniform seed Y , the output (X; Y ) is close to uniform. We study properties...
Let C be a class of distributions over {0, 1}n . A deterministic randomness extractor for C is a function E : {0, 1}n {0, 1}m such that for any X in C the distribution E(X) is sta...