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Pseudorandom Generators without the XOR Lemma

Pseudorandom generators without the XOR lemma
Authors: Trevisan, Luca; Sudan, Madhu; Vadhan, Salil; sudan;

Pseudorandom Generators without the XOR Lemma

Abstract

The paper deals with pseudorandom generators based on complexity considerations (good generators are characterized via some abstract computation or circuit complexity properties called hardness) rather than on the probabilistic investigations. It contains mainly the results of the authors presented on several conferences and requires knowledge of many papers mentioned in the introduction. After a quite long discussion of known results the authors show that the pseudorandom generators using the XOR lemma allowing hardness amplification [cf. \textit{N. Nissan} and \textit{A. Widgerson}, J.Comput. Syst. Sci. 49, No.~2, 149-167 (1994; Zbl 0821.68057)] can be modified via the application of pseudoentropy generators introduced by the authors. The authors are able to find a new type of pseudorandom generators based on the concept of hardness and to find new results and new proofs of known ones (e.g. the connection between the hardness amplification and a list decoding algorithm for error correcting codes and the derivation of a list correcting algorithm for error correcting codes based on multivariate polynomials). The paper is very technical and is based on the results of more than fifty papers. It contains no computer programs of the discussed algorithms and no statistical tests of the proposed generators. It is not too clear whether the generators presented in the paper are easily implementable and/or usable.

Country
United States
Keywords

Pseudo-random numbers; Monte Carlo methods, Computer Networks and Communications, Analysis of algorithms and problem complexity, Applied Mathematics, hardness amplification, polynomial reconstruction, pseudoergodic generator, circuit complexity, 004, Theoretical Computer Science, pseudorandom number generation, Complexity and performance of numerical algorithms, Computational Theory and Mathematics, pseudorandom generators, error correcting codes, Random number generation in numerical analysis, list decoding, extractors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
215
Top 1%
Top 1%
Top 1%
hybrid