'Main theorem' presentation slideshows

Graphs with tiny vector chromatic numbers and huge chromatic numbers

Graphs with tiny vector chromatic numbers and huge chromatic numbers. Michael Langberg. Weizmann Institute of Science. Joint work with U. Feige and G. Schechtman. Two fundamental NP-Hard problems. Minimum Coloring Maximum Independent Set . Minimum coloring.

798 views • 63 slides

Oded Regev Tel-Aviv University

On Lattices, Learning with Errors, Random Linear Codes, and Cryptography. Oded Regev Tel-Aviv University. Introduction to lattices Main theorem: a hard learning problem Application: a stronger and more efficient public key cryptosystem Proof of main theorem Overview

514 views • 49 slides

Muthuramakrishnan Venkitasubramaniam

Adaptive UC from New Notions of Non-Malleability. 15 years of UC-Security [Canetti00]. dynamic. 2 5 years of Adaptive Security [Beaver89]. Muthuramakrishnan Venkitasubramaniam. Joint with Dana Dachman -Soled, Maryana Raykova , Tal Malkin.

429 views • 39 slides

Unavoidable vertex-minors for large prime graphs

Unavoidable vertex-minors for large prime graphs. O-joung Kwon , KAIST (This is a joint work with Sang-il Oum) Discrete Seminar in KAIST. October 4, 2013. 1. Index. - Ramsey type theorems - Rank-connectivity

495 views • 39 slides

Part I: Paper d: Protein Folding

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nD Gravity with n-2 Killing vectors Tonatiuh Matos http://www.fis.cinvestav.mx/~tmatos/

nD Gravity with n-2 Killing vectors Tonatiuh Matos http://www.fis.cinvestav.mx/~tmatos/. nD-Einstein equations with n-2 commuting Killing vectors Chiral fields The invariance group of chiral fields. Methods of solutions. The nD-Einstein equations with n-2 commuting Killing Vectors.

531 views • 37 slides

Anonymity Analysis of Onion Routing in the Universally Composable Framework

Anonymity Analysis of Onion Routing in the Universally Composable Framework. Joan Feigenbaum Aaron Johnson Paul Syverson Yale University U.S. Naval Research Laboratory. Provable Privacy Workshop July 9, 2012. Problem.

422 views • 33 slides

Iterative Program Analysis Abstract Interpretation

Iterative Program Analysis Abstract Interpretation. Mooly Sagiv http://www.cs.tau.ac.il/~msagiv/courses/pa11.html Tel Aviv University 640-6706 Textbook: Principles of Program Analysis Chapter 4 CC79, CC92. Outline. The abstract interpretation technique The main theorem Applications

485 views • 32 slides

Static Contract Checking for Haskell

354 views • 27 slides

Input-Indistinguishable Computation

434 views • 26 slides

Vector

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Generalized Capacity of Constrained Systems

Generalized Capacity of Constrained Systems. Syed Ali Jafar and Sriram Vishwanath Wireless Systems Laboratory. Outline. Introduction and motivation. Polynomial (poly.) and no-growth (n-g.) capacity. Algebraic characterization of poly. and n-g. capacity. Conclusion. Introduction.

259 views • 13 slides

Polynomial-Time Hierarchy

Polynomial-Time Hierarchy. 1. Stockmeyer 2. Wrathall. Definitions. Let A ? + and B ? + for finite alphabets ? and ? . A transforms to B within logspace via f (A B via f) iff f is a transformation, f: ? + ? ? + , such that f ? logspace and x ? A?f(x) ? B for all x ? ? +.

233 views • 12 slides

Probabilities: frequencies viewed in perspective A. Billot , I. Gilboa , D. Samet , D. Schmeidler

Probabilities: frequencies viewed in perspective A. Billot , I. Gilboa , D. Samet , D. Schmeidler. Where do probabilities come from?. Are the answers we have any better?. The Bayesianist : by updating. The logician : by logical derivation (Carnap, Harsanyi).

189 views • 9 slides