Media Summary: Paper by Yevgeniy Dodis, Vinod Vaikuntanathan, Daniel Wichs presented at Eurocrypt 2020 See ... 13th Innovations in Theoretical Computer Science Conference (ITCS 2022) 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)).

Extracting Randomness From Extractor Dependent - Detailed Analysis & Overview

Paper by Yevgeniy Dodis, Vinod Vaikuntanathan, Daniel Wichs presented at Eurocrypt 2020 See ... 13th Innovations in Theoretical Computer Science Conference (ITCS 2022) 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)). A talk from Luisa Siniscalchi, a postdoctoral scholar at Aarhus University. Sign up for our mailing list: ... David Zuckerman University of Texas at Austin; Institute for Advanced Study February 7, 2012 A Paper by Divesh Aggarwal, Maciej Obremski, João Ribeiro, Luisa Siniscalchi, Ivan Visconti presented at Eurocrypt 2020 See ...

QCrypt 2016, the 6th International Conference on Quantum Cryptography, held in Washington, DC, Sept. 12-16, 2016. Web site: ... David Zuckerman, University of Texas, Austin Connections Between Algorithm Design and Complexity Theory ... Siyao Guo, New York University Expanders and Basic information theory explained with examples. Information quantification, examples of

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Extracting Randomness from Extractor-Dependent Sources
Vinod Vaikuntanathan (MIT): Extracting Randomness from Extractor-Dependent Sources
Randomness Extraction from Somewhat Dependent Sources
Class 18, Video 1: Extractors
How to Extract Useful Randomness from Unreliable Sources - Luisa Siniscalchi
Randomness Extraction: A Survey - David Zuckerman
How to Extract Useful Randomness from Unreliable Sources
Randomness extraction from trees and intervals #SoME3
Rotem Arnon-Friedman: Quantum-Proof Multi-Source Randomness Extractors in the Markov Model
The novel multi source method for the randomness extraction
Explicit Two-Source Extractors and Resilient Functions
Improved Deterministic Randomness Extraction from Non-Binary Santha-Vazirani Sources
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Extracting Randomness from Extractor-Dependent Sources

Extracting Randomness from Extractor-Dependent Sources

Paper by Yevgeniy Dodis, Vinod Vaikuntanathan, Daniel Wichs presented at Eurocrypt 2020 See ...

Vinod Vaikuntanathan (MIT): Extracting Randomness from Extractor-Dependent Sources

Vinod Vaikuntanathan (MIT): Extracting Randomness from Extractor-Dependent Sources

Theory-Fest 2019-2020: Cryptography.

Randomness Extraction from Somewhat Dependent Sources

Randomness Extraction from Somewhat Dependent Sources

13th Innovations in Theoretical Computer Science Conference (ITCS 2022) http://itcs-conf.org/

Class 18, Video 1: Extractors

Class 18, Video 1: Extractors

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)).

How to Extract Useful Randomness from Unreliable Sources - Luisa Siniscalchi

How to Extract Useful Randomness from Unreliable Sources - Luisa Siniscalchi

A talk from Luisa Siniscalchi, a postdoctoral scholar at Aarhus University. Sign up for our mailing list: ...

Randomness Extraction: A Survey - David Zuckerman

Randomness Extraction: A Survey - David Zuckerman

David Zuckerman University of Texas at Austin; Institute for Advanced Study February 7, 2012 A

How to Extract Useful Randomness from Unreliable Sources

How to Extract Useful Randomness from Unreliable Sources

Paper by Divesh Aggarwal, Maciej Obremski, João Ribeiro, Luisa Siniscalchi, Ivan Visconti presented at Eurocrypt 2020 See ...

Randomness extraction from trees and intervals #SoME3

Randomness extraction from trees and intervals #SoME3

The greediest

Rotem Arnon-Friedman: Quantum-Proof Multi-Source Randomness Extractors in the Markov Model

Rotem Arnon-Friedman: Quantum-Proof Multi-Source Randomness Extractors in the Markov Model

QCrypt 2016, the 6th International Conference on Quantum Cryptography, held in Washington, DC, Sept. 12-16, 2016. Web site: ...

The novel multi source method for the randomness extraction

The novel multi source method for the randomness extraction

The novel multi source method for the

Explicit Two-Source Extractors and Resilient Functions

Explicit Two-Source Extractors and Resilient Functions

David Zuckerman, University of Texas, Austin Connections Between Algorithm Design and Complexity Theory ...

Improved Deterministic Randomness Extraction from Non-Binary Santha-Vazirani Sources

Improved Deterministic Randomness Extraction from Non-Binary Santha-Vazirani Sources

Siyao Guo, New York University https://simons.berkeley.edu/talks/siyao-guo-02-03-2017 Expanders and

Randomness extraction. Part 1

Randomness extraction. Part 1

Basic information theory explained with examples. Information quantification, examples of