DocumentCode
3710087
Title
Three-Source Extractors for Polylogarithmic Min-Entropy
Author
Xin Li
Author_Institution
Dept. of Comput. Sci., Johns Hopkins Univ. Baltimore, Baltimore, MD, USA
fYear
2015
Firstpage
863
Lastpage
882
Abstract
We continue the study of constructing explicit extractors for independent general weak random sources. The ultimate goal is to give a construction that matches what is given by the probabilistic method - an extractor for two independent n-bit weak random sources with min-entropy as small as log n + O(1). Previously, the best known result in the two-source case is an extractor by Bourgain [1], which works for min-entropy 0.49n; and the best known result in the general case is an earlier work of the author [2], which gives an extractor for a constant number of independent sources with min-entropy polylog(n). However, the constant in the construction of [2] depends on the hidden constant in the best known seeded extractor, and can be large; moreover the error in that construction is only 1/poly(n). In this paper, we make two important improvements over the result in [2]. First, we construct an explicit extractor for three independent sources on n bits with min-entropy k ≥ polylog(n). In fact, our extractor works for one source with poly-logarithmic min-entropy and another independent block source with two blocks each having poly-logarithmic min-entropy. This significantly improves previous constructions, and the next step would be to break the 0.49n barrier in two-source extractors. Second, we improve the error of the extractor from 1/poly(n) to 2-kΩ(1), which is almost optimal and crucial for cryptographic applications. Some of our techniques may be of independent interests.
Keywords
"Yttrium","Entropy","Cryptography","Computer science","Probabilistic logic","Distributed computing","Bipartite graph"
Publisher
ieee
Conference_Titel
Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on
ISSN
0272-5428
Type
conf
DOI
10.1109/FOCS.2015.58
Filename
7354432
Link To Document