One-way functions and Pseudorandom generators
Combinatorica - Theory of Computing
Random-self-reducibility of complete sets
SIAM Journal on Computing
BPP has subexponential time simulations unless EXPTIME has publishable proofs
Computational Complexity
P = BPP if E requires exponential circuits: derandomizing the XOR lemma
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Pseudorandom generators without the XOR lemma
Journal of Computer and System Sciences - Special issue on the fourteenth annual IEE conference on computational complexity
Boosting and Hard-Core Set Construction
Machine Learning
Hard-core distributions for somewhat hard problems
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Randomness vs. Time: De-Randomization under a Uniform Assumption
FOCS '98 Proceedings of the 39th Annual Symposium on Foundations of Computer Science
List-Decoding Using The XOR Lemma
FOCS '03 Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science
Hardness amplification within NP
Journal of Computer and System Sciences - Special issue on computational complexity 2002
Simple extractors for all min-entropies and a new pseudorandom generator
Journal of the ACM (JACM)
On uniform amplification of hardness in NP
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
The complexity of constructing pseudorandom generators from hard functions
Computational Complexity
On Constructing Parallel Pseudorandom Generators from One-Way Functions
CCC '05 Proceedings of the 20th Annual IEEE Conference on Computational Complexity
Using Nondeterminism to Amplify Hardness
SIAM Journal on Computing
On basing one-way functions on NP-hardness
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
Distinguishing SAT from Polynomial-Size Circuits, through Black-Box Queries
CCC '06 Proceedings of the 21st Annual IEEE Conference on Computational Complexity
Verifying and decoding in constant depth
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
On Worst-Case to Average-Case Reductions for NP Problems
SIAM Journal on Computing
Hardness Amplification for Errorless Heuristics
FOCS '07 Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science
If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances
Computational Complexity
Pseudorandomness and Average-Case Complexity Via Uniform Reductions
Computational Complexity
Security preserving amplification of hardness
SFCS '90 Proceedings of the 31st Annual Symposium on Foundations of Computer Science
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
Limitations of Hardness vs. Randomness under Uniform Reductions
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
Worst-Case to Average-Case Reductions Revisited
APPROX '07/RANDOM '07 Proceedings of the 10th International Workshop on Approximation and the 11th International Workshop on Randomization, and Combinatorial Optimization. Algorithms and Techniques
Hardness Amplification via Space-Efficient Direct Products
Computational Complexity
Chernoff-Type Direct Product Theorems
Journal of Cryptology
Approximate List-Decoding of Direct Product Codes and Uniform Hardness Amplification
SIAM Journal on Computing
Hardness amplification within NP against deterministic algorithms
Journal of Computer and System Sciences
Uniform Direct Product Theorems: Simplified, Optimized, and Derandomized
SIAM Journal on Computing
Hardness Amplification Proofs Require Majority
SIAM Journal on Computing
On the Complexity of Hardness Amplification
IEEE Transactions on Information Theory
On the complexity of hard-core set constructions
ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
Query complexity in errorless hardness amplification
APPROX'11/RANDOM'11 Proceedings of the 14th international workshop and 15th international conference on Approximation, randomization, and combinatorial optimization: algorithms and techniques
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Hardness amplification results show that for every function f there exists a function Amp(f) such that the following holds: if every circuit of size s computes f correctly on at most a 1 - δ fraction of inputs, then every circuit of size s′ computes Amp(f) correctly on at most a 1/2 + ε fraction of inputs. All hardness amplification results in the literature suffer from "size loss" meaning that s′ ≤ ε ċ s. In this paper we show that proofs using "non-uniform reductions" must suffer from size loss. To the best of our knowledge, all proofs in the literature are by non-uniform reductions. Our result is the first lower bound that applies to non-uniform reductions that are adaptive. A reduction is an oracle circuit R(ċ) such that when given oracle access to any function D that computes Amp(f) correctly on a 1/2 + ε fraction of inputs, RD computes f correctly on a 1 - δ fraction of inputs. A non-uniform reduction is allowed to also receive a short advice string α that may depend on both f and D in an arbitrary way. The well known connection between hardness amplification and list-decodable error-correcting codes implies that reductions showing hardness amplification cannot be uniform for ε We also prove the same lower bounds on the number of queries of nonuniform and adaptive reductions that are allowed to rely on arbitrary specific properties of the function f. Previous limitations on reductions were proven for "function-generic" hardness amplification, in which the non-uniform reduction needs to work for every function f and therefore cannot rely on specific properties of the function.