Introductions for the “Weizmann Distinguished Lectures Day” by Oded Goldreich.

Slides:



Advertisements
Similar presentations
Sublinear-time Algorithms for Machine Learning Ken Clarkson Elad Hazan David Woodruff IBM Almaden Technion IBM Almaden.
Advertisements

Lower Bounds for Non-Black-Box Zero Knowledge Boaz Barak (IAS*) Yehuda Lindell (IBM) Salil Vadhan (Harvard) *Work done while in Weizmann Institute. Short.
Linear-Degree Extractors and the Inapproximability of Max Clique and Chromatic Number David Zuckerman University of Texas at Austin.
Are PCPs Inherent in Efficient Arguments? Guy Rothblum, MIT ) MSR-SVC ) IAS Salil Vadhan, Harvard University.
Why Simple Hash Functions Work : Exploiting the Entropy in a Data Stream Michael Mitzenmacher Salil Vadhan And improvements with Kai-Min Chung.
Extracting Randomness From Few Independent Sources Boaz Barak, IAS Russell Impagliazzo, UCSD Avi Wigderson, IAS.
Extracting Randomness David Zuckerman University of Texas at Austin.
Derandomization & Cryptography Boaz Barak, Weizmann Shien Jin Ong, MIT Salil Vadhan, Harvard.
Approximate List- Decoding and Hardness Amplification Valentine Kabanets (SFU) joint work with Russell Impagliazzo and Ragesh Jaiswal (UCSD)
The Communication Complexity of Approximate Set Packing and Covering
1 LP Duality Lecture 13: Feb Min-Max Theorems In bipartite graph, Maximum matching = Minimum Vertex Cover In every graph, Maximum Flow = Minimum.
Locally Decodable Codes from Nice Subsets of Finite Fields and Prime Factors of Mersenne Numbers Kiran Kedlaya Sergey Yekhanin MIT Microsoft Research.
Semi-Honest to Malicious Oblivious-Transfer The Black-box Way Iftach Haitner Weizmann Institute of Science.
Parallel Repetition From Fortification Dana Moshkovitz MIT.
CIS 5371 Cryptography 3b. Pseudorandomness.
Deterministic Amplification of Space-Bounded Probabilistic Algorithms Ziv Bar-Yossef Oded Goldreich U.C. Berkeley Weizmann Institute U.C. Berkeley Weizmann.
On the limitations of efficient computation Oded Goldreich Weizmann Institute of Science.
Using Nondeterminism to Amplify Hardness Emanuele Viola Joint work with: Alex Healy and Salil Vadhan Harvard University.
Probabilistically Checkable Proofs (and inapproximability) Irit Dinur, Weizmann open day, May 1 st 2009.
Probabilistically Checkable Proofs Madhu Sudan MIT CSAIL 09/23/20091Probabilistic Checking of Proofs TexPoint fonts used in EMF. Read the TexPoint manual.
Nir Bitansky and Omer Paneth. Interactive Proofs.
Introduction to PCP and Hardness of Approximation Dana Moshkovitz Princeton University and The Institute for Advanced Study 1.
Two Query PCP with Sub-constant Error Dana Moshkovitz Princeton University Ran Raz Weizmann Institute 1.
1 Robust PCPs of Proximity (Shorter PCPs, applications to Coding) Eli Ben-Sasson (Radcliffe) Oded Goldreich (Weizmann & Radcliffe) Prahladh Harsha (MIT)
Constant Degree, Lossless Expanders Omer Reingold AT&T joint work with Michael Capalbo (IAS), Salil Vadhan (Harvard), and Avi Wigderson (Hebrew U., IAS)
Duality Lecture 10: Feb 9. Min-Max theorems In bipartite graph, Maximum matching = Minimum Vertex Cover In every graph, Maximum Flow = Minimum Cut Both.
ACT1 Slides by Vera Asodi & Tomer Naveh. Updated by : Avi Ben-Aroya & Alon Brook Adapted from Oded Goldreich’s course lecture notes by Sergey Benditkis,
1 COMPOSITION PCP proof by Irit Dinur Presentation by Guy Solomon.
On Proximity Oblivious Testing Oded Goldreich - Weizmann Institute of Science Dana Ron – Tel Aviv University.
1 Graph Powering Cont. PCP proof by Irit Dinur Presented by Israel Gerbi.
1 Algorithmic Aspects in Property Testing of Dense Graphs Oded Goldreich – Weizmann Institute Dana Ron - Tel-Aviv University.
1 Streaming Computation of Combinatorial Objects Ziv Bar-Yossef U.C. Berkeley Omer Reingold AT&T Labs – Research Ronen.
GOING DOWN HILL: MORE EFFICIENT PSEUDORANDOM GENERATORS FROM ANY ONE-WAY FUNCTION Joint with Iftach Haitner and Salil Vadhan Omer Reingold&
1 INTRODUCTION NP, NP-hardness Approximation PCP.
1 Constructing Pseudo-Random Permutations with a Prescribed Structure Moni Naor Weizmann Institute Omer Reingold AT&T Research.
Chapter 11 Limitations of Algorithm Power Copyright © 2007 Pearson Addison-Wesley. All rights reserved.
On Testing Computability by small Width OBDDs Oded Goldreich Weizmann Institute of Science.
A Brief Introduction To The Theory of Computer Science and The PCP Theorem By Dana Moshkovitz Faculty of Mathematics and Computer Science The Weizmann.
1 Slides by Asaf Shapira & Michael Lewin & Boaz Klartag & Oded Schwartz. Adapted from things beyond us.
In a World of BPP=P Oded Goldreich Weizmann Institute of Science.
Some 3CNF Properties are Hard to Test Eli Ben-Sasson Harvard & MIT Prahladh Harsha MIT Sofya Raskhodnikova MIT.
Dana Moshkovitz, MIT Joint work with Subhash Khot, NYU.
Randomness – A computational complexity view Avi Wigderson Institute for Advanced Study.
Of 28 Probabilistically Checkable Proofs Madhu Sudan Microsoft Research June 11, 2015TIFR: Probabilistically Checkable Proofs1.
C&O 355 Mathematical Programming Fall 2010 Lecture 17 N. Harvey TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AA A.
Probabilistically Checkable Proofs Madhu Sudan MIT CSAIL.
Computational Complexity Polynomial time O(n k ) input size n, k constant Tractable problems solvable in polynomial time(Opposite Intractable) Ex: sorting,
Products of Functions, Graphs, Games & Problems Irit Dinur Weizmann.
A Linear Lower Bound on the Communication Complexity of Single-Server PIR Weizmann Institute of Science Israel Iftach HaitnerJonathan HochGil Segev.
Bayesianism, Convexity, and the quest towards Optimal Algorithms Boaz Barak Harvard UniversityMicrosoft Research.
On Constructing Parallel Pseudorandom Generators from One-Way Functions Emanuele Viola Harvard University June 2005.
1/19 Minimizing weighted completion time with precedence constraints Nikhil Bansal (IBM) Subhash Khot (NYU)
Amplification and Derandomization Without Slowdown Dana Moshkovitz MIT Joint work with Ofer Grossman (MIT)
My Favorite Ten Complexity Theorems of the Past Decade II Lance Fortnow University of Chicago.
Honest-Verifier Statistical Zero-Knowledge Equals General Statistical Zero-Knowledge Oded Goldreich (Weizmann) Amit Sahai (MIT) Salil Vadhan (MIT)
狄彥吾 (Yen-Wu Ti) 華夏技術學院資訊工程系 Property Testing on Combinatorial Objects.
1 2 Introduction In this lecture we’ll cover: Definition of PCP Prove some classical hardness of approximation results Review some recent ones.
The Power of Negations in Cryptography
Complexity Theory and Explicit Constructions of Ramsey Graphs Rahul Santhanam University of Edinburgh.
Derandomization & Cryptography
Randomness and Computation
Modern symmetric-key Encryption
Dana Moshkovitz The Institute For Advanced Study
Umans Complexity Theory Lectures
Edmonds-Karp Algorithm
Robust PCPs of Proximity (Shorter PCPs, applications to Coding)
Introduction to PCP and Hardness of Approximation
Every set in P is strongly testable under a suitable encoding
The Zig-Zag Product and Expansion Close to the Degree
On Derandomizing Algorithms that Err Extremely Rarely
Presentation transcript:

Introductions for the “Weizmann Distinguished Lectures Day” by Oded Goldreich

Boaz Barak (MSR) [WIS’04] Pioneering non-black-box proofs of security (e.g., for zero-knowledge): Standard proofs of security are via reductions that use the hypothetical adversary as a black-box, and it was believed that limitations of such proofs represent real limitations. Work on randomness extraction (from few independent sources). Work on the Unique Game Conjecture.

Irit Dinur (WIS) [TAU’01] Focus: A proof of the PCP THM by (gradual) Gap Amplification. PCP THM = Every NP-proof can be efficiently transformed to one that can be verified probabilistically by inspecting a constant number of bits in it. Prior proofs of the PCP theorem combined two extremely complex PCP systems. Irit’s proof starts with a trivial PCP system and obtains the final one by a long sequence of gradual amplifications of the detection probability. Along the way she resolves a problem that would have taken a decade to resolve otherwise: Obtaining PCP systems of almost linear length.

Johan Hastad (KTH) [MIT’86] (relatively tight) Lower Bounds for AC0. Pseudorandom Generators based on any One-Way Function. Leading 2 nd generation of PCP constructions, culminating with (relatively tight) non- approximability results for several central optimization problems including MaxClique and MaxSAT. Tight: OWF are necessary.

Salil Vadhan (Harvard) [MIT’99] Unconditional studies of ZK, culminating in SZKA based on any OWF. N.B.: Dual result to CZKIP based on OWF. Major player in 2 nd generation of constructions of randomness extractors (from T’99 to GUV’07). The Zig-Zag product (see its application to UCONN in L).

Richard Karp (UCB) [Harvard’59] One of the founding fathers of Computer Science. NP-Completeness ["Reducibility Among Combinatorial Problems", 1972] Classical algorithms for optimization problems, including max-flow [w. Edmonds, 1971] and matching in bipartite graphs [w. Hopcroft, 1973]. And much more…