Talk page

Title:
Randomness Extraction: A Survey

Speaker:
David Zuckerman

Abstract:
A randomness extractor is an efficient algorithm which extracts high-quality randomness from a low-quality random source. Randomness extractors have important applications in a wide variety of areas, including pseudorandomness, cryptography, expander graphs, coding theory, and inapproximability. In this talk, we survey the field of randomness extraction and discuss connections with other areas.

Link:
https://www.ias.edu/video/csdm/zuckerman