Understanding Extracting Randomness From Extractor Dependent Sources
Exploring Extracting Randomness From Extractor Dependent Sources reveals several interesting facts. Paper by Yevgeniy Dodis, Vinod Vaikuntanathan, Daniel Wichs presented at Eurocrypt 2020 See ...
Key Takeaways about Extracting Randomness From Extractor Dependent Sources
- Paper by Divesh Aggarwal, Maciej Obremski, João Ribeiro, Luisa Siniscalchi, Ivan Visconti presented at Eurocrypt 2020 See ...
- The greediest
- The novel multi
- Paper by Hanwen Feng, Qiang Tang presented at TCC 2021 See https://iacr.org/cryptodb/data/paper.php?pubkey=31555.
- A talk from Luisa Siniscalchi, a postdoctoral scholar at Aarhus University. Sign up for our mailing list: ...
Detailed Analysis of Extracting Randomness From Extractor Dependent Sources
Theory-Fest 2019-2020: Cryptography. 13th Innovations in Theoretical Computer Science Conference (ITCS 2022) http://itcs-conf.org/ 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)).
David Zuckerman University of Texas at Austin; Institute for Advanced Study February 7, 2012 A
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