Exploring Differential Obliviousness∗
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2020 SIGACT REPORT SIGACT EC – Eric Allender, Shuchi Chawla, Nicole Immorlica, Samir Khuller (Chair), Bobby Kleinberg September 14Th, 2020
2020 SIGACT REPORT SIGACT EC – Eric Allender, Shuchi Chawla, Nicole Immorlica, Samir Khuller (chair), Bobby Kleinberg September 14th, 2020 SIGACT Mission Statement: The primary mission of ACM SIGACT (Association for Computing Machinery Special Interest Group on Algorithms and Computation Theory) is to foster and promote the discovery and dissemination of high quality research in the domain of theoretical computer science. The field of theoretical computer science is the rigorous study of all computational phenomena - natural, artificial or man-made. This includes the diverse areas of algorithms, data structures, complexity theory, distributed computation, parallel computation, VLSI, machine learning, computational biology, computational geometry, information theory, cryptography, quantum computation, computational number theory and algebra, program semantics and verification, automata theory, and the study of randomness. Work in this field is often distinguished by its emphasis on mathematical technique and rigor. 1. Awards ▪ 2020 Gödel Prize: This was awarded to Robin A. Moser and Gábor Tardos for their paper “A constructive proof of the general Lovász Local Lemma”, Journal of the ACM, Vol 57 (2), 2010. The Lovász Local Lemma (LLL) is a fundamental tool of the probabilistic method. It enables one to show the existence of certain objects even though they occur with exponentially small probability. The original proof was not algorithmic, and subsequent algorithmic versions had significant losses in parameters. This paper provides a simple, powerful algorithmic paradigm that converts almost all known applications of the LLL into randomized algorithms matching the bounds of the existence proof. The paper further gives a derandomized algorithm, a parallel algorithm, and an extension to the “lopsided” LLL. -
Program Sunday Evening: Welcome Recep- Tion from 7Pm to 9Pm at the Staff Lounge of the Department of Computer Science, Ny Munkegade, Building 540, 2Nd floor
Computational ELECTRONIC REGISTRATION Complexity The registration for CCC’03 is web based. Please register at http://www.brics.dk/Complexity2003/. Registration Fees (In Danish Kroner) Eighteenth Annual IEEE Conference Advance† Late Members‡∗ 1800 DKK 2200 DKK ∗ Sponsored by Nonmembers 2200 DKK 2800 DKK Students+ 500 DKK 600 DKK The IEEE Computer Society ∗The registration fee includes a copy of the proceedings, Technical Committee on receptions Sunday and Monday, the banquet Wednesday, and lunches Monday, Tuesday and Wednesday. Mathematical Foundations +The registration fee includes a copy of the proceedings, of Computing receptions Sunday and Monday, and lunches Monday, Tuesday and Wednesday. The banquet Wednesday is not included. †The advance registration deadline is June 15. ‡ACM, EATCS, IEEE, or SIGACT members. Extra proceedings/banquet tickets Extra proceedings are 350 DKK. Extra banquet tick- ets are 300 DKK. Both can be purchased when reg- istering and will also be available for sale on site. Alternative registration If electronic registration is not possible, please con- tact the organizers at one of the following: E-mail: [email protected] Mail: Complexity 2003 c/o Peter Bro Miltersen In cooperation with Department of Computer Science University of Aarhus ACM-SIGACT and EATCS Ny Munkegade, Building 540 DK 8000 Aarhus C, Denmark Fax: (+45) 8942 3255 July 7–10, 2003 Arhus,˚ Denmark Conference homepage Conference Information Information about this year’s conference is available Location All sessions of the conference and the on the Web at Kolmogorov workshop will be held in Auditorium http://www.brics.dk/Complexity2003/ F of the Department of Mathematical Sciences at Information about the Computational Complexity Aarhus University, Ny Munkegade, building 530, 1st conference is available at floor. -
SIGACT News Complexity Theory Column 93
SIGACT News Complexity Theory Column 93 Lane A. Hemaspaandra Dept. of Computer Science University of Rochester Rochester, NY 14627, USA Introduction to Complexity Theory Column 93 This issue This issue features Swastik Kopparty and Shubhangi Saraf's column, \Local Testing and Decoding of High-Rate Error-Correcting Codes." Warmest thanks to the authors for their fascinating, exciting column! Future issues And please stay tuned to future issues' Complexity Theory Columns, for articles by Neeraj Kayal and Chandan Saha (tentative topic: arithmetic circuit lower bounds); Stephen Fenner and Thomas Thierauf (tentative topic: related to the STOC 2016 quasi-NC bipartite perfect matching algorithm of Fenner, Gurjar, and Thierauf); Srinivasan Arunachalam and Ronald de Wolf (tentative topic: quantum machine learning); and Ryan O'Donnell and John Wright (tentative topic: learning and testing quantum states). 2016{2017 As this issue reaches you, the 2016{2017 academic year will be starting. For those of you who are faculty members, I wish you a theorem-filled year, including the treat of working on research with bright graduate and undergraduate students. For those you who are students (bright ones, of course|you're reading this column!), if you are not already working with a faculty member on research and would like to, don't be shy! Even if you're a young undergraduate, it makes a lot of sense to pop by your favorite theory professor's office, and let him or her know what has most interested you so far within theory, if something has (perhaps a nifty article you read by Kopparty and Saraf?), and that you find theory thrilling, if you do (admit it, you do!), and that you'd love to be doing theory research as soon as possible and would deeply appreciate any advice as to what you can do to best make that happen. -
Toward Probabilistic Checking Against Non-Signaling Strategies with Constant Locality
Electronic Colloquium on Computational Complexity, Report No. 144 (2020) Toward Probabilistic Checking against Non-Signaling Strategies with Constant Locality Mohammad Mahdi Jahanara Sajin Koroth Igor Shinkar [email protected] sajin [email protected] [email protected] Simon Fraser University Simon Fraser University Simon Fraser University September 7, 2020 Abstract Non-signaling strategies are a generalization of quantum strategies that have been studied in physics over the past three decades. Recently, they have found applications in theoretical computer science, including to proving inapproximability results for linear programming and to constructing protocols for delegating computation. A central tool for these applications is probabilistically checkable proof (PCPs) systems that are sound against non-signaling strategies. In this paper we show, assuming a certain geometrical hypothesis about noise robustness of non-signaling proofs (or, equivalently, about robustness to noise of solutions to the Sherali- Adams linear program), that a slight variant of the parallel repetition of the exponential-length constant-query PCP construction due to Arora et al. (JACM 1998) is sound against non-signaling strategies with constant locality. Our proof relies on the analysis of the linearity test and agreement test (also known as the direct product test) in the non-signaling setting. Keywords: direct product testing; linearity testing; non-signaling strategies; parallel repetition; proba- bilistically checkable proofs 1 ISSN 1433-8092 Contents 1 Introduction 3 1.1 Informal statement of the result . .5 1.2 Roadmap . .6 2 Preliminaries 6 2.1 Probabilistically Checkable Proofs . .6 2.2 Parallel repetition . .7 2.3 Non-signaling functions . .7 2.4 Permutation folded repeated non-signaling functions . -
Securely Obfuscating Re-Encryption
Securely Obfuscating Re-Encryption Susan Hohenberger¤ Guy N. Rothblumy abhi shelatz Vinod Vaikuntanathanx December 1, 2008 Abstract We present a positive obfuscation result for a traditional cryptographic functionality. This posi- tive result stands in contrast to well-known impossibility results [3] for general obfuscation and recent impossibility and improbability [13] results for obfuscation of many cryptographic functionalities. Whereas other positive obfuscation results in the standard model apply to very simple point func- tions, our obfuscation result applies to the signi¯cantly more complex and widely-used re-encryption functionality. This functionality takes a ciphertext for message m encrypted under Alice's public key and transforms it into a ciphertext for the same message m under Bob's public key. To overcome impossibility results and to make our results meaningful for cryptographic functionalities, our scheme satis¯es a de¯nition of obfuscation which incorporates more security-aware provisions. ¤Johns Hopkins University, [email protected]. Research partially performed at IBM Zurich Research Laboratory, Switzer- land. yMIT CSAIL, [email protected]. Research supported by NSF grant CNS-0430450 and NSF grant CFF-0635297. zUniversity of Virginia, [email protected]. Research performed at IBM Zurich Research Laboratory, Switzerland. xMIT CSAIL, [email protected] 1 1 Introduction A recent line of research in theoretical cryptography aims to understand whether it is possible to obfuscate programs so that a program's code becomes unintelligible while its functionality remains unchanged. A general method for obfuscating programs would lead to the solution of many open problems in cryptography. Unfortunately, Barak, Goldreich, Impagliazzo, Rudich, Sahai, Vadhan and Yang [3] show that for many notions of obfuscation, a general program obfuscator does not exist|i.e., they exhibit a class of circuits which cannot be obfuscated. -
UC Berkeley UC Berkeley Electronic Theses and Dissertations
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Hardness of Maximum Constraint Satisfaction Permalink https://escholarship.org/uc/item/5x33g1k7 Author Chan, Siu On Publication Date 2013 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Hardness of Maximum Constraint Satisfaction by Siu On Chan A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Elchanan Mossel, Chair Professor Luca Trevisan Professor Satish Rao Professor Michael Christ Spring 2013 Hardness of Maximum Constraint Satisfaction Creative Commons 3.0 BY: C 2013 by Siu On Chan 1 Abstract Hardness of Maximum Constraint Satisfaction by Siu On Chan Doctor of Philosophy in Computer Science University of California, Berkeley Professor Elchanan Mossel, Chair Maximum constraint satisfaction problem (Max-CSP) is a rich class of combinatorial op- timization problems. In this dissertation, we show optimal (up to a constant factor) NP- hardness for maximum constraint satisfaction problem with k variables per constraint (Max- k-CSP), whenever k is larger than the domain size. This follows from our main result con- cerning CSPs given by a predicate: a CSP is approximation resistant if its predicate contains a subgroup that is balanced pairwise independent. Our main result is related to previous works conditioned on the Unique-Games Conjecture and integrality gaps in sum-of-squares semidefinite programming hierarchies. Our main ingredient is a new gap-amplification technique inspired by XOR-lemmas. Using this technique, we also improve the NP-hardness of approximating Independent-Set on bounded-degree graphs, Almost-Coloring, Two-Prover-One-Round-Game, and various other problems. -
László Lovász Avi Wigderson of Eötvös Loránd University of the Institute for Advanced Study, in Budapest, Hungary and Princeton, USA
2021 The Norwegian Academy of Science and Letters has decided to award the Abel Prize for 2021 to László Lovász Avi Wigderson of Eötvös Loránd University of the Institute for Advanced Study, in Budapest, Hungary and Princeton, USA, “for their foundational contributions to theoretical computer science and discrete mathematics, and their leading role in shaping them into central fields of modern mathematics.” Theoretical Computer Science (TCS) is the study of computational lens”. Discrete structures such as the power and limitations of computing. Its roots go graphs, strings, permutations are central to TCS, back to the foundational works of Kurt Gödel, Alonzo and naturally discrete mathematics and TCS Church, Alan Turing, and John von Neumann, leading have been closely allied fields. While both these to the development of real physical computers. fields have benefited immensely from more TCS contains two complementary sub-disciplines: traditional areas of mathematics, there has been algorithm design which develops efficient methods growing influence in the reverse direction as well. for a multitude of computational problems; and Applications, concepts, and techniques from TCS computational complexity, which shows inherent have motivated new challenges, opened new limitations on the efficiency of algorithms. The notion directions of research, and solved important open of polynomial-time algorithms put forward in the problems in pure and applied mathematics. 1960s by Alan Cobham, Jack Edmonds, and others, and the famous P≠NP conjecture of Stephen Cook, László Lovász and Avi Wigderson have been leading Leonid Levin, and Richard Karp had strong impact on forces in these developments over the last decades. the field and on the work of Lovász and Wigderson. -
The Gödel Prize 2020 - Call for Nominatonn
The Gödel Prize 2020 - Call for Nominatonn Deadline: February 15, 2020 The Gödel Prize for outntanding papern in the area of theoretial iomputer niienie in nponnored jointly by the European Annoiiaton for Theoretial Computer Siienie (EATCS) and the Annoiiaton for Computng Maihinery, Speiial Innterent Group on Algorithmn and Computaton Theory (AC M SInGACT) The award in prenented annually, with the prenentaton taaing plaie alternately at the Innternatonal Colloquium on Automata, Languagen, and Programming (InCALP) and the AC M Symponium on Theory of Computng (STOC) The 28th Gödel Prize will be awarded at the 47th Innternatonal Colloquium on Automata, Languagen, and Programming to be held during 8-12 July, 2020 in Beijing The Prize in named in honour of Kurt Gödel in reiogniton of hin major iontributonn to mathematial logii and of hin interent, diniovered in a leter he wrote to John von Neumann nhortly before von Neumann’n death, in what han beiome the famoun “P vernun NP” quenton The Prize iniluden an award of USD 5,000 Award Committee: The 2020 Award Commitee ionnintn of Samnon Abramnay (Univernity of Oxford), Anuj Dawar (Chair, Univernity of Cambridge), Joan Feigenbaum (Yale Univernity), Robert Krauthgamer (Weizmann Innnttute), Daniel Spielman (Yale Univernity) and David Zuiaerman (Univernity of Texan, Auntn) Eligibility: The 2020 Prize rulen are given below and they nupernede any diferent interpretaton of the generii rule to be found on webniten of both SInGACT and EATCS Any renearih paper or nerien of papern by a ningle author or by -
Obfuscating Compute-And-Compare Programs Under LWE
58th Annual IEEE Symposium on Foundations of Computer Science Obfuscating Compute-and-Compare Programs under LWE Daniel Wichs Giorgos Zirdelis Northeastern University Northeastern University [email protected] [email protected] Abstract—We show how to obfuscate a large and expres- that the obfuscated program can be simulated given black- sive class of programs, which we call compute-and-compare box access to the program’s functionality. Unfortunately, programs, under the learning-with-errors (LWE) assumption. they showed that general purpose VBB obfuscation is un- Each such program CC[f,y] is parametrized by an arbitrary polynomial-time computable function f along with a target achievable. This leaves open two possibilities: (1) achieving value y and we define CC[f,y](x) to output 1 if f(x)=y weaker security notions of obfuscation for general programs, and 0 otherwise. In other words, the program performs an and (2) achieving virtual black box obfuscation for restricted arbitrary computation f and then compares its output against classes of programs. y a target . Our obfuscator satisfies distributional virtual-black- Along the first direction, Barak et al. proposed a weaker box security, which guarantees that the obfuscated program does not reveal any partial information about the function f security notion called indistinguishability obfuscation (iO) or the target value y, as long as they are chosen from some which guarantees that the obfuscations of two functionally distribution where y has sufficient pseudo-entropy given f. equivalent programs are indistinguishable. In a breakthrough We also extend our result to multi-bit compute-and-compare result, Garg, Gentry, Halevi, Raykova, Sahai and Waters MBCC[f,y,z](x) z programs which output a message if [GGH+13b] showed how to iO-obfuscate all polynomial- f(x)=y. -
October 1983 Table of Contents
Fairfield Meeting (October 28-29)- Page 614 San Luis Obispo Meeting (November 11-12)-Page 622 Evanston Meeting (November 11-12)-Page 630 Notices of the American Mathematical Society October 1983, Issue 228 Volume 30, Number 6, Pages 569- 712 Providence, Rhode Island USA ISSN 0002-9920 Calendar of AMS Meetings THIS CALENDAR lists all meetings which have been approved by the Council prior to the date this issue of the Notices was sent to press. The summer and annual meetings are joint meetings of the Mathematical Association of America and the Ameri· can Mathematical Society. The meeting dates which fall rather far in the future are subject to change; this is particularly true of meetings to which no numbers have yet been assigned. Programs of the meetings will appear in the issues indicated below. First and second announcements of the meetings will have appeared in earlier issues. ABSTRACTS OF PAPERS presented at a meeting of the Society are published in the journal Abstracts of papers presented to the American Mathematical Society in the issue corresponding to that of the Notices which contains the program of the meet· ing. Abstracts should be submitted on special forms which are available in many departments of mathematics and from the office of the Society in Providence. Abstracts of papers to be presented at the meeting must be received at the headquarters of the Society in Providence, Rhode Island, on or before the deadline given below for the meeting. Note that the deadline for ab· stracts submitted for consideration for presentation at special sessions is usually three weeks earlier than that specified below. -
Beating Brute Force for Polynomial Identity Testing of General Depth-3 Circuits
Electronic Colloquium on Computational Complexity, Report No. 111 (2018) Beating Brute Force for Polynomial Identity Testing of General Depth-3 Circuits V. Arvind∗ Abhranil Chatterjeey Rajit Dattaz Partha Mukhopadhyayx June 4, 2018 Abstract Let C be a depth-3 ΣΠΣ arithmetic circuit of size s, computing a polynomial f 2 F[x1; : : : ; xn] (where F = Q or C) with fan-in of product gates bounded by d. We give a deterministic time 2d poly(n; s) polynomial identity testing algorithm to check whether f ≡ 0 or not. In the case of finite fields, for Char(F) > d we obtain a deterministic algorithm of running time 2γ·d poly(n; s), whereas for Char(F) ≤ d, we obtain a deterministic algorithm of running time 2(γ+2)·d log d poly(n; s) where γ ≤ 5. 1 Introduction Polynomial Identity Testing (PIT ) is the following well-studied algorith- mic problem: Given an arithmetic circuit C computing a polynomial in F[x1; : : : ; xn], determine whether C computes an identically zero polynomial or not. The problem can be presented either in the white-box model or in the black-box model. In the white-box model, the arithmetic circuit is given ex- plicitly as the input. In the black-box model, the arithmetic circuit is given n n black-box access. I.e., the circuit can be evaluated at any point in F (or in F , for a suitable extension field F ). In the last three decades, PIT has played a pivotal role in many important results in complexity theory and algorithms: Pri- mality Testing [AKS04], the PCP Theorem [ALM+98], IP = PSPACE [Sha90], graph matching algorithms [Lov79, MVV87]. -
The Gödel Prize 2019 - Call for Nominations Deadline: February 15, 2019
The Gödel Prize 2019 - Call for Nominations Deadline: February 15, 2019 The Gödel Prize for outstanding papers in the area of theoretical computer science is sponsored jointly by the European Association for Theoretical Computer Science (EATCS) and the Association for Computing Machinery, Special Interest Group on Algorithms and Computation Theory (ACM SIGACT). The award is presented annually, with the presentation taking place alternately at the International Colloquium on Automata, Languages, and Programming (ICALP) and the ACM Symposium on Theory of Computing (STOC). The 27th Gödel Prize will be awarded at 51st Annual ACM Symposium on the Theory of Computing to be held during June 23-26, 2019 in Phoenix, AZ. The Prize is named in honor of Kurt Gödel in recognition of his major contributions to mathematical logic and of his interest, discovered in a letter he wrote to John von Neumann shortly before von Neumann’s death, in what has become the famous “P versus NP” question. The Prize includes an award of USD 5,000. Award Committee: The 2019 Award Committee consists of Anuj Dawar (Cambridge University), Robert Krauthgamer (Weizmann Institute), Joan Feigenbaum (Yale University), Giuseppe Persiano (Università di Salerno), Omer Reingold (Chair, Stanford University) and Daniel Spielman (Yale University). Eligibility: The 2019 Prize rules are given below and they supersede any different interpretation of the generic rule to be found on websites of both SIGACT and EATCS. Any research paper or series of papers by a single author or by a team of authors is deemed eligible if: - The main results were not published (in either preliminary or final form) in a journal or conference proceedings before January 1st, 2006.