'Random bits' diaporamas de présentation

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?.

671 views • 51 slides

CS151 Complexity Theory

CS151 Complexity Theory. Lecture 12 May 9, 2013. Useful characterization. Recall: L ? NP iff expressible as L = { x | 9 y, |y| ? |x| k , (x, y) ? R } where R ? P . Corollary: L ? coNP iff expressible as L = { x | 8 y, |y| ? |x| k , (x, y) ? R } where R ? P.

586 views • 45 slides

Wireless networks

594 views • 44 slides

Pseudorandom Bit Generators (PRBGs) and Stream Ciphers Based on Random Shuffle

Pseudorandom Bit Generators (PRBGs) and Stream Ciphers Based on Random Shuffle. Speaker: Souradyuti Paul Co mputer S ecurity and I ndustrial C ryptography ( COSIC ) Department of Electrical Engineering Katholieke Universiteit Leuven, Belgium

595 views • 41 slides

Randomness Extractors: Motivation, Applications and Constructions

Randomness Extractors: Motivation, Applications and Constructions. Ronen Shaltiel University of Haifa. Outline of talk. Extractors as graphs with expansion properties Extractors as functions which extract randomness Applications Explicit Constructions.

524 views • 40 slides

CS21 Decidability and Tractability

562 views • 36 slides

Probabilistically checkable proofs, hidden random bits and non-interactive zero-knowledge proofs

Probabilistically checkable proofs, hidden random bits and non-interactive zero-knowledge proofs. Jens Groth University College London. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A A A A A A A. Non-interactive zero-knowledge proof.

561 views • 34 slides

Randomness Extractors: Motivation, Applications and Constructions

Randomness Extractors: Motivation, Applications and Constructions. Ronen Shaltiel University of Haifa. Outline of talk. Extractors as graphs with expansion properties Extractors as functions which extract randomness Applications Explicit Constructions.

417 views • 32 slides

Cryptography

Cryptography. Lecture 3. Perfect secrecy (formal).

499 views • 29 slides

Extractors: applications and constructions

Randomness. Extractors: applications and constructions. Avi Wigderson IAS, Princeton. Cryptography. Applications : Analyzed on perfect randomness. Probabilistic algorithms. Game Theory. Unbiased, independent. biased, dependent. Reality : Sources of imperfect randomness.

437 views • 29 slides

Chap 1: Introduction

Chap 1: Introduction. Some background The message is usually represented as M or P (plaintext), the encryption result is usually represented as C (ciphertext). C usually has the same length as M or even longer E(M) = C, D(C) = M D(E(M)) = M

357 views • 28 slides

STOCHASTIC SAMPLING FROM IMAGE CODER INDUCED PROBABILITY DISTRIBUTIONS

STOCHASTIC SAMPLING FROM IMAGE CODER INDUCED PROBABILITY DISTRIBUTIONS. presenting author:. Onur G. Guleryuz, Viresh Ratnakar,. oguleryuz@erd.epson.com Epson Palo Alto Laboratory Palo Alto, CA. viresh@google.com Google Inc., Mt. View, CA. Regunathan Radhakrishnan, and Nasir Memon.

376 views • 26 slides

expander codes and pseudorandom subspaces of R n

expander codes and pseudorandom subspaces of R n. James R. Lee. University of Washington. [joint with Venkatesan Guruswami (Washington) and Alexander Razborov (IAS/Steklov)]. Classical high-dimensional geometry [Kasin 77, Figiel-Lindenstrauss-Milman 77] :.

296 views • 21 slides

Data Manipulation

Data Manipulation. Overview and Applications. Agenda. Overview of LabVIEW data types Manipulating LabVIEW data types Changing data types Byte level manipulation of data Bit level manipulation of data Applications involving data manipulation Data encryption Instrument I/O.

579 views • 17 slides

Extractors: applications and constructions

Randomness. Extractors: applications and constructions. Avi Wigderson IAS, Princeton. Cryptography. Applications : Analyzed on perfect randomness. Probabilistic algorithms. Game Theory. Unbiased, independent. biased, dependent. Reality : Sources of imperfect randomness.

310 views • 17 slides

CIS 5371 Cryptography

CIS 5371 Cryptography. 3. Private-Key Encryption and Pseudorandomness B ased on: Jonathan Katz and Yehuda Lindel , Introduction to Modern Cryptography. A Computational Approach to Cryptography. Computational secrecy is a weaker notion of secrecy that is based on the assumption that

418 views • 15 slides

Linear Feedback Shift Register Demo

Linear Feedback Shift Register Demo. 0. 1. 1. 0. 1. 0. 0. 0. 0. 1. 0. Time 0. "seed" = initial contents. Linear Feedback Shift Register Demo. 0. 1. 1. 0. 1. 0. 0. 0. 0. 1. 0. Time 0. Time 1. Linear Feedback Shift Register Demo. 0. 1. 1. 0. 1. 0. 0. 0. 0. 1. 0.

349 views • 13 slides

Random Number Generation Using Quantum Physics

Random Number Generation Using Quantum Physics. Introduction to randomness and random numbers. PRNG-s. TRNG-s. Comparison between PRNG-s and TRNG-s. Application of random numbers. Authentication. Confidentiality. Scientific calculations. What is a random number Testing randomness.

369 views • 11 slides

Website Fuzz Testing

722 views • 9 slides

Uniform algorithms for deterministic construction of efficient dictionaries

183 views • 9 slides