Affiliation:
1. Northeastern University, Boston, MA
Abstract
Research in the 1980s and 1990s showed how to construct a pseudorandom generator from a function that is hard to compute on more than 99% of the inputs. A more recent line of works showed, however, that if the generator has small error, then the proof of correctness cannot be implemented in subclasses of TC
0
, and hence the construction cannot be applied to the known hardness results. This article considers a typical class of pseudorandom generator constructions, and proves an analogous result for the case of large error.
Publisher
Association for Computing Machinery (ACM)
Subject
Computational Theory and Mathematics,Theoretical Computer Science