Note: Improved hardness amplification in NP
Theoretical Computer Science
Foundations and Trends® in Theoretical Computer Science
If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances
Computational Complexity
Special Issue On Worst-case Versus Average-case Complexity Editors' Foreword
Computational Complexity
Pseudorandomness and Average-Case Complexity Via Uniform Reductions
Computational Complexity
Hardness amplification proofs require majority
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Randomness-Efficient Sampling within NC1
Computational Complexity
The Complexity of Local List Decoding
APPROX '08 / RANDOM '08 Proceedings of the 11th international workshop, APPROX 2008, and 12th international workshop, RANDOM 2008 on Approximation, Randomization and Combinatorial Optimization: Algorithms and Techniques
Extractors Using Hardness Amplification
APPROX '09 / RANDOM '09 Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
Near-optimal extractors against quantum storage
Proceedings of the forty-second ACM symposium on Theory of computing
Uniform derandomization from pathetic lower bounds
APPROX/RANDOM'10 Proceedings of the 13th international conference on Approximation, and 14 the International conference on Randomization, and combinatorial optimization: algorithms and techniques
Relativized worlds without worst-case to average-case reductions for NP
APPROX/RANDOM'10 Proceedings of the 13th international conference on Approximation, and 14 the International conference on Randomization, and combinatorial optimization: algorithms and techniques
Hardness amplification within NP against deterministic algorithms
Journal of Computer and System Sciences
Hardness Amplification Proofs Require Majority
SIAM Journal on Computing
APPROX'11/RANDOM'11 Proceedings of the 14th international workshop and 15th international conference on Approximation, randomization, and combinatorial optimization: algorithms and techniques
Marginal hitting sets imply super-polynomial lower bounds for permanent
Proceedings of the 3rd Innovations in Theoretical Computer Science Conference
Randomness-efficient sampling within NC1
APPROX'06/RANDOM'06 Proceedings of the 9th international conference on Approximation Algorithms for Combinatorial Optimization Problems, and 10th international conference on Randomization and Computation
On the complexity of parallel hardness amplification for one-way functions
TCC'06 Proceedings of the Third conference on Theory of Cryptography
Tight bounds on computing error-correcting codes by bounded-depth circuits with arbitrary gates
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
Relativized Worlds without Worst-Case to Average-Case Reductions for NP
ACM Transactions on Computation Theory (TOCT)
Information Processing Letters
Impossibility results on weakly black-box hardness amplification
FCT'07 Proceedings of the 16th international conference on Fundamentals of Computation Theory
Sparse extractor families for all the entropy
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
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We study the complexity of constructing pseudorandom generators (PRGs) from hard functions, focussing on constant-depth circuits. We show that, starting from a function f : {0,1}l -- {0,1} computable in alternating time O(l) with O(1) alternations that is hard on average (i.e. there is a constant ε 0 such that every circuit of size 2εl failes to compute f on at elast a 1/poly(l) fraction of inputs) we can construct a PRG : {0,1}O(log n) -- {0,1}n computable be DLOGTIME-uniform constant deptg circuits of size polunomial in n. Such a PRG implies BP . ACO = ACO under DLOGTIME-uniformity. On the negative side, we prove that starting from a worst-case hard function f : {0,1}l -- {0,1} (i.e. there is a constant ε 0 such that every circuit size of 2εl fails to compute f on some input) for evey positive constant &$948; δn -- {0,1}n computable by constant-depth circuits of size polynomial in n. We also study worst-case hardness amplification, which is the related problem of producing an average-case hard function starting from a worst-case hard one. In particular, we deduce that there is no blackbox worst-case hardness amplification within the polynomial time hierarchy. These negative results are obtained by showing that polynomialsize constant-depth circuits cannot compute good extractors and listdecodable codes.