Reconstructive Dispersers and Hitting Set Generators

A sampling procedure for a distribution P over {0, 1} ℓ is a function C : {0, 1} n → {0, 1} ℓ such that the distribution C ( U n ) (obtained by applying C on the uniform distribution U n ) is the “desired distribution” P . Let n > r ≥ ℓ = n Ω(1) . An ϵ- nb-PRG (defined by Dubrov and Ishai [2006]) is a function G : {0, 1} r → {0, 1} n such that for every C : {0, 1} n → {0, 1} ℓ in some class of “interesting sampling procedures,” C ′( U r ) = C ( G ( U r )) is ϵ-close to C ( U n ) in statistical distance . We construct poly-time computable nb-PRGs with r = O (ℓ) for poly-size circuits relying on the assumption that there exists β > 0 and a problem L in E = DTIME(2 O ( n ) ) such that for every large enough n , nondeterministic circuits of size 2 β n that have NP-gates cannot solve L on inputs of length n . This assumption is a scaled nonuniform analog of (the widely believed) EXP ≠ Σ 2 P , and similar assumptions appear in various contexts in derandomization. Previous nb-PRGs of Dubrov and Ishai have r = Ω(ℓ 2 ) and are based on very strong cryptographic assumptions or, alternatively, on nonstandard assumptions regarding incompressibility of functions on random inputs. When restricting to poly-size circuits C : {0, 1} n → {0, 1} ℓ with Shannon entropy H ( C ( U n )) ⩽ k , for ℓ > k = n Ω(1) , our nb-PRGs have r = O ( k ). The nb-PRGs of Dubrov and Ishai use seed length r = Ω( k 2 ) and require that the probability distribution of C ( U n ) is efficiently computable. Our nb-PRGs follow from a notion of “conditional PRGs,” which may be of independent interest. These are PRGs where G ( U r ) remains pseudorandom even when conditioned on a “large” event { A ( G ( U r )) = 1}, for an arbitrary poly-size circuit A . A related notion was considered by Shaltiel and Umans [2005] in a different setting, and our proofs use ideas from that paper, as well as ideas of Dubrov and Ishai. We also give an unconditional construction of poly-time computable nb-PRGs for poly( n )-size, depth d circuits C : {0, 1} n → {0, 1} ℓ with r = O (ℓ · log d + O (1) n ). This improves upon the previous work of Dubrov and Ishai that has r ≥ ℓ 2 . This result follows by adapting a recent PRG construction of Trevisan and Xue [2013] to the case of nb-PRGs. We also show that this PRG can be implemented by a uniform family of constant-depth circuits with slightly increased seed length.

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On Hardness Assumptions Needed for "Extreme High-End" PRGs and Fast Derandomization

Shaltiel,

Viola

2022

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Reconstructive Dispersers and Hitting Set Generators

Cited by 3 publications

References 34 publications

Pseudorandom generators with optimal seed length for non-boolean poly-size circuits

Pseudorandom generators with optimal seed length for non-boolean poly-size circuits

Pseudorandom Generators with Optimal Seed Length for Non-Boolean Poly-Size Circuits

On Hardness Assumptions Needed for "Extreme High-End" PRGs and Fast Derandomization

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