Title
Simple extractors for all min-entropies and a new pseudorandom generator
Abstract
A “randomness extractor” is an algorithm that given a sample from a distribution with sufficiently high min-entropy and a short random seed produces an output that is statistically indistinguishable from uniform. (Min-entropy is a measure of the amount of randomness in a distribution.) We present a simple, self-contained extractor construction that produces good extractors for all min-entropies. Our construction is algebraic and builds on a new polynomial-based approach introduced by Ta-Shma et al. [2001b]. Using our improvements, we obtain, for example, an extractor with output length m = k/(log n)O(1/α) and seed length (1 + α)log n for an arbitrary 0 n is the input length, and k is the min-entropy of the input distribution.A “pseudorandom generator” is an algorithm that given a short random seed produces a long output that is computationally indistinguishable from uniform. Our technique also gives a new way to construct pseudorandom generators from functions that require large circuits. Our pseudorandom generator construction is not based on the Nisan-Wigderson generator [Nisan and Wigderson 1994], and turns worst-case hardness directly into pseudorandomness. The parameters of our generator match those in Impagliazzo and Wigderson [1997] and Sudan et al. [2001] and in particular are strong enough to obtain a new proof that P = BPP if E requires exponential size circuits.Our construction also gives the following improvements over previous work:---We construct an optimal “hitting set generator” that stretches O(log n) random bits into sΩ(1) pseudorandom bits when given a function on log n bits that requires circuits of size s. This yields a quantitatively optimal hardness versus randomness tradeoff for both RP and BPP and solves an open problem raised in Impagliazzo et al. [1999].---We give the first construction of pseudorandom generators that fool nondeterministic circuits when given a function that requires large nondeterministic circuits. This technique also give a quantitatively optimal hardness versus randomness tradeoff for AM and the first hardness amplification result for nondeterministic circuits.
Year
DOI
Venue
2005
10.1145/1059513.1059516
IEEE Symposium on Foundations of Computer Science
Keywords
Field
DocType
randomness tradeoff,hardness versus randomness,log n bit,simple extractor,Nisan-Wigderson generator,randomness extractor,new pseudorandom generator,pseudorandom generator construction,short random seed,pseudorandom bit,pseudorandom generator,self-contained extractor construction,log n,hardness amplification result
Discrete mathematics,Randomness extractor,Computer science,Random seed,Pseudorandom generator
Journal
Volume
Issue
ISSN
52
2
0004-5411
ISBN
Citations 
PageRank 
0-7695-1116-3
94
3.51
References 
Authors
50
2
Name
Order
Citations
PageRank
Ronen Shaltiel195351.62
Christopher Umans287955.36