Exploring Randomness Extraction From Somewhat Dependent Sources
If you are looking for information about Randomness Extraction From Somewhat Dependent Sources, you have come to the right place.
- A talk from Luisa Siniscalchi, a postdoctoral scholar at Aarhus University. Sign up for our mailing list: ...
- Siyao Guo, New York University https://simons.berkeley.edu/talks/siyao-guo-02-03-2017 Expanders and Extractors.
- Paper by Divesh Aggarwal, Maciej Obremski, João Ribeiro, Luisa Siniscalchi, Ivan Visconti presented at Eurocrypt 2020 See ...
- ERRATA: At 1:30, the definition of min-entropy has the log in the wrong place! It should be log(1/P(X=x)), not 1/log(P(X=x)).
- The novel multi
In-Depth Information on Randomness Extraction From Somewhat Dependent Sources
13th Innovations in Theoretical Computer Science Conference (ITCS 2022) http://itcs-conf.org/ Paper by Yevgeniy Dodis, Vinod Vaikuntanathan, Daniel Wichs presented at Eurocrypt 2020 See ... David Zuckerman University of Texas at Austin; Institute for Advanced Study February 7, 2012 A Theory-Fest 2019-2020: Cryptography.
Instructor: Ramprasad Saptharishi Agenda: [Extractors] Weak
We hope this detailed breakdown of Randomness Extraction From Somewhat Dependent Sources was helpful.