The complexity of promise problems with applications to public-key cryptography
Information and Control
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
A new general derandomization method
Journal of the ACM (JACM)
Improved Derandomization of BPP Using a Hitting Set Generator
RANDOM-APPROX '99 Proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization Problems: Randomization, Approximation, and Combinatorial Algorithms and Techniques
Weak random sources, hitting sets, and BPP simulations
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
A complexity theoretic approach to randomness
STOC '83 Proceedings of the fifteenth annual ACM symposium on Theory of computing
Two theorems on random polynomial time
SFCS '78 Proceedings of the 19th Annual Symposium on Foundations of Computer Science
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A hitting-set generator is a deterministic algorithm that generates a set of strings such that this set intersects every dense set that is recognizable by a small circuit. A polynomial time hitting-set generator readily implies RP = P, but it is not apparent what this implies for BPP. Nevertheless, Andreev et al. (ICALP'96, and JACM 1998) showed that a polynomial-time hitting-set generator implies the seemingly stronger conclusion BPP = P. We simplify and improve their (and later) constructions.