'Min entropy' presentation slideshows

Cryptography and Privacy Preserving Operations Lecture 1

Cryptography and Privacy Preserving Operations Lecture 1. Lecturer: Moni Naor Weizmann Institute of Science. What is Cryptography?. Traditionally: how to maintain secrecy in communication. Alice and Bob talk while Eve tries to listen. Bob. Alice. Eve. History of Cryptography.

1.44k views • 126 slides

Randomness Extractors & their Many Guises

Randomness Extractors & their Many Guises. Salil Vadhan Harvard University. to be posted at http://eecs.harvard.edu/~salil. I. Motivation. Original Motivation [SV84,Vaz85,VV85,CG85,Vaz87,CW89,Zuc90,Zuc91]. Randomization is pervasive in CS

714 views • 71 slides

Usable and Secure Password Management

942 views • 66 slides

Lecturer: Moni Naor Weizmann Institute of Science

On necessary and sufficient cryptographic assumptions: the case of memory checking Lecture 1: One-way functions. Lecturer: Moni Naor Weizmann Institute of Science. What is Cryptography?. Traditionally: how to maintain secrecy in communication.

766 views • 62 slides

Simple Extractors for all Min-Entropies

Simple Extractors for all Min-Entropies. R.Shaltiel and C.Umans. Definitions. Def (min-entropy): The min-entropy of a random variable X over {0, 1} n is defined as:

724 views • 61 slides

Simple Extractors for all Min-Entropies

Simple Extractors for all Min-Entropies. R.Shaltiel and C.Umans. Definitions. Def (min-entropy): The min-entropy of a random variable X over {0, 1} n is defined as:

612 views • 61 slides

1. Joint withA.Ta-shma & D.Zuckerman 2. Improved: R.Shaltiel and C. Umans Slides: Adi Akavia

Extractors via Low-degree Polynomials. 1. Joint withA.Ta-shma & D.Zuckerman 2. Improved: R.Shaltiel and C. Umans Slides: Adi Akavia. Definitions. Def: The min-entropy of a random variable X over {0, 1} n is defined as:

616 views • 54 slides

Randomness Extraction: A Survey

Randomness Extraction: A Survey. David Zuckerman University of Texas at Austin. Randomness in Computer Science. Many uses of randomness in CS. Randomized algorithms Cryptography Distributed computing But: high-quality randomness expensive. Can low-quality (weak) randomness suffice?.

672 views • 51 slides

Inaccessible Entropy

Omer Reingold Weizmann Institute. Salil Vadhan Harvard University. Iftach Haitner Microsoft Research. Hoeteck Wee Queens College, CUNY. Inaccessible Entropy. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A. outline. Entropy

509 views • 47 slides

Inaccessible Entropy

Omer Reingold Weizmann Institute. Salil Vadhan Harvard University. Iftach Haitner Microsoft Research. Hoeteck Wee Queens College, CUNY. Inaccessible Entropy. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A. outline. Entropy

604 views • 47 slides

2-source Dispersers for n o(1) entropy and Ramsey graphs beating the Frankl-Wilson construction

2-source Dispersers for n o(1) entropy and Ramsey graphs beating the Frankl-Wilson construction. Boaz Barak Anup Rao Ronen Shaltiel Avi Wigderson. Plan for this talk. Introduction: Ramsey Graphs. Randomness extractors. 2-source extractors/dispersers and their relation to Ramsey graphs.

430 views • 34 slides

Randomness Extraction: A Survey

561 views • 33 slides

Cryptography

Cryptography. Lecture 3. Perfect secrecy (formal).

499 views • 29 slides

Cryptographic Extraction

374 views • 29 slides

Incremental Deterministic Public-Key Encryption

Ilya Mironov, Omkant Pandey, Omer Reingold, Gil Segev Microsoft Research. Incremental Deterministic Public-Key Encryption. Incremental Deterministic Public-Key Encryption. Deterministic Public-Key Encryption. -source adversary. min-entropy. min-entropy.

403 views • 28 slides

Incremental Deterministic Public-Key Encryption

Ilya Mironov, Omkant Pandey, Omer Reingold, Gil Segev Microsoft Research. Incremental Deterministic Public-Key Encryption. Incremental Deterministic Public-Key Encryption. Deterministic Public-Key Encryption. -source adversary. min-entropy. min-entropy.

285 views • 28 slides

Cryptographic Applications of Randomness Extractors

Cryptographic Applications of Randomness Extractors. Salil Vadhan Harvard University. http://seas.harvard.edu/~salil. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A. Outline. Definition & Basics Cryptographic Applications (overview)

252 views • 25 slides

Computational Entropy

Computational Entropy. Salil Vadhan Harvard University (on sabbatical at MSR-SVC and Stanford). Joint works with Iftach Haitner (Tel Aviv), Thomas Holenstein (ETH Zurich ), Omer Reingold (MSR-SVC), Hoeteck Wee (George Washington U.), a nd Colin Jia Zheng (Harvard).

402 views • 24 slides

Prop. 11

CVX. Q-CVX. Prop. 8. Prop. 13. AVG. MAX. Prop. 10. Prop. 14. Prop. 6. Prop. 11. NI. NI. MONO. DPI. MONO. DPI. Prop. 7. Prop. 7. CVX. Prop. 14. Prop. 14. MAX. Prop. 12. NI. MONO. DPI. Prop. 13. min- entropy. 0. 1. 0. 1. CVX. Q-CVX. AVG. MAX. NI. NI. MONO. DPI.

75 views • 7 slides

Measuring Anonymity: A Tale of Two Distributions

191 views • 6 slides