Randomized Protocols for Asynchronous Consensus
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing 234 Able Quantity
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing 234 able quantity. Only a limited number of previous works which can provide a natural and interpretable guide- [29, 34, 35] have investigated the question of how to line for selecting proper privacy parameters by system select a proper value of ǫ, but these approaches ei- designers and researchers. Furthermore, we extend our ther require complicated economic models or lack the analysis on unbounded DP to bounded DP and the ap- analysis of adversaries with arbitrary auxiliary informa- proximate (ǫ, δ)-DP. tion (see Section 2.3 for more details). Our work is in- Impact of Auxiliary Information. The conjecture spired by the interpretation of differential privacy via that auxiliary information can influence the design of hypothesis testing, initially introduced by Wasserman DP mechanisms has been made in prior work [8, 28, 32, and Zhou [27, 30, 60]. However, this interpretation has 33, 39, 65]. We therefore investigate the adversary’s ca- not been systematically investigated before in the con- pability based on hypothesis testing under three types text of our research objective, i.e., reasoning about the of auxiliary information: the prior distribution of the in- choice of the privacy parameter ǫ (see Section 2.4 for put record, the correlation across records, and the corre- more details). lation across time. Our analysis demonstrates that the We consider hypothesis testing [2, 45, 61] as the tool auxiliary information indeed influences the appropriate used by the adversary to infer sensitive information of selection of ǫ. The results suggest that, when possible an individual record (e.g., the presence or absence of and available, the practitioners of DP should explicitly a record in the database for unbounded DP) from the incorporate adversary’s auxiliary information into the outputs of privacy mechanisms. -
2008 Annual Report
2008 Annual Report NATIONAL ACADEMY OF ENGINEERING ENGINEERING THE FUTURE 1 Letter from the President 3 In Service to the Nation 3 Mission Statement 4 Program Reports 4 Engineering Education 4 Center for the Advancement of Scholarship on Engineering Education 6 Technological Literacy 6 Public Understanding of Engineering Developing Effective Messages Media Relations Public Relations Grand Challenges for Engineering 8 Center for Engineering, Ethics, and Society 9 Diversity in the Engineering Workforce Engineer Girl! Website Engineer Your Life Project Engineering Equity Extension Service 10 Frontiers of Engineering Armstrong Endowment for Young Engineers-Gilbreth Lectures 12 Engineering and Health Care 14 Technology and Peace Building 14 Technology for a Quieter America 15 America’s Energy Future 16 Terrorism and the Electric Power-Delivery System 16 U.S.-China Cooperation on Electricity from Renewables 17 U.S.-China Symposium on Science and Technology Strategic Policy 17 Offshoring of Engineering 18 Gathering Storm Still Frames the Policy Debate 20 2008 NAE Awards Recipients 22 2008 New Members and Foreign Associates 24 2008 NAE Anniversary Members 28 2008 Private Contributions 28 Einstein Society 28 Heritage Society 29 Golden Bridge Society 29 Catalyst Society 30 Rosette Society 30 Challenge Society 30 Charter Society 31 Other Individual Donors 34 The Presidents’ Circle 34 Corporations, Foundations, and Other Organizations 35 National Academy of Engineering Fund Financial Report 37 Report of Independent Certified Public Accountants 41 Notes to Financial Statements 53 Officers 53 Councillors 54 Staff 54 NAE Publications Letter from the President Engineering is critical to meeting the fundamental challenges facing the U.S. economy in the 21st century. -
Dagrep-V007-I011-Complete.Pdf
Volume 7, Issue 11, November 2017 New Challenges in Parallelism (Dagstuhl Seminar 17451) Annette Bieniusa, Hans-J. Boehm, Maurice Herlihy, and Erez Petrank ........... 1 Algorithmic Cheminformatics (Dagstuhl Seminar 17452) Jakob L. Andersen, Christoph Flamm, Daniel Merkle, and Peter F. Stadler . 28 Connecting Visualization and Data Management Research (Dagstuhl Seminar 17461) Remco Chang, Jean-Daniel Fekete, Juliana Freire, and Carlos E. Scheidegger . 46 A Shared Challenge in Behavioural Specification (Dagstuhl Seminar 17462) Klaus Havelund, Martin Leucker, Giles Reger, and Volker Stolz . 59 Artificial and Computational Intelligence in Games: AI-Driven Game Design (Dagstuhl Seminar 17471) Pieter Spronck, Elisabeth André, Michael Cook, and Mike Preuß . 86 Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472) Niko Beerenwinkel, Holger Fröhlich, and Susan A. Murphy . 130 Reliable Computation and Complexity on the Reals (Dagstuhl Seminar 17481) Norbert T. Müller, Siegfried M. Rump, Klaus Weihrauch, and Martin Ziegler . 142 DagstuhlReports,Vol. 7,Issue11 ISSN2192-5283 ISSN 2192-5283 Published online and open access by Aims and Scope Schloss Dagstuhl – Leibniz-Zentrum für Informatik The periodical Dagstuhl Reports documents the GmbH, Dagstuhl Publishing, Saarbrücken/Wadern, program and the results of Dagstuhl Seminars and Germany. Online available at Dagstuhl Perspectives Workshops. http://www.dagstuhl.de/dagpub/2192-5283 In principal, for each Dagstuhl Seminar or Dagstuhl Perspectives Workshop a report is published that Publication date contains the following: March, 2018 an executive summary of the seminar program and the fundamental results, Bibliographic information published by the Deutsche an overview of the talks given during the seminar Nationalbibliothek (summarized as talk abstracts), and The Deutsche Nationalbibliothek lists this publica- summaries from working groups (if applicable). -
Digital Communication Systems 2.2 Optimal Source Coding
Digital Communication Systems EES 452 Asst. Prof. Dr. Prapun Suksompong [email protected] 2. Source Coding 2.2 Optimal Source Coding: Huffman Coding: Origin, Recipe, MATLAB Implementation 1 Examples of Prefix Codes Nonsingular Fixed-Length Code Shannon–Fano code Huffman Code 2 Prof. Robert Fano (1917-2016) Shannon Award (1976 ) Shannon–Fano Code Proposed in Shannon’s “A Mathematical Theory of Communication” in 1948 The method was attributed to Fano, who later published it as a technical report. Fano, R.M. (1949). “The transmission of information”. Technical Report No. 65. Cambridge (Mass.), USA: Research Laboratory of Electronics at MIT. Should not be confused with Shannon coding, the coding method used to prove Shannon's noiseless coding theorem, or with Shannon–Fano–Elias coding (also known as Elias coding), the precursor to arithmetic coding. 3 Claude E. Shannon Award Claude E. Shannon (1972) Elwyn R. Berlekamp (1993) Sergio Verdu (2007) David S. Slepian (1974) Aaron D. Wyner (1994) Robert M. Gray (2008) Robert M. Fano (1976) G. David Forney, Jr. (1995) Jorma Rissanen (2009) Peter Elias (1977) Imre Csiszár (1996) Te Sun Han (2010) Mark S. Pinsker (1978) Jacob Ziv (1997) Shlomo Shamai (Shitz) (2011) Jacob Wolfowitz (1979) Neil J. A. Sloane (1998) Abbas El Gamal (2012) W. Wesley Peterson (1981) Tadao Kasami (1999) Katalin Marton (2013) Irving S. Reed (1982) Thomas Kailath (2000) János Körner (2014) Robert G. Gallager (1983) Jack KeilWolf (2001) Arthur Robert Calderbank (2015) Solomon W. Golomb (1985) Toby Berger (2002) Alexander S. Holevo (2016) William L. Root (1986) Lloyd R. Welch (2003) David Tse (2017) James L. -
An Economic Analysis of Privacy Protection and Statistical Accuracy As Social Choices
An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices John M. Abowd and Ian M. Schmutte August 15, 2018 Forthcoming in American Economic Review Abowd: U.S. Census Bureau HQ 8H120, 4600 Silver Hill Rd., Washington, DC 20233, and Cornell University, (email: [email protected]); Schmutte: Department of Eco- nomics, University of Georgia, B408 Amos Hall, Athens, GA 30602 (email: [email protected]). Abowd and Schmutte acknowledge the support of Alfred P. Sloan Foundation Grant G-2015-13903 and NSF Grant SES-1131848. Abowd acknowledges direct support from NSF Grants BCS-0941226, TC-1012593. Any opinions and conclusions are those of the authors and do not represent the views of the Census Bureau, NSF, or the Sloan Foundation. We thank the Center for Labor Economics at UC–Berkeley and Isaac Newton Institute for Mathematical Sciences, Cambridge (EPSRC grant no. EP/K032208/1) for support and hospitality. We are extremely grateful for very valuable com- ments and guidance from the editor, Pinelopi Goldberg, and six anonymous referees. We acknowl- edge helpful comments from Robin Bachman, Nick Bloom, Larry Blume, David Card, Michael Castro, Jennifer Childs, Melissa Creech, Cynthia Dwork, Casey Eggleston, John Eltinge, Stephen Fienberg, Mark Kutzbach, Ron Jarmin, Christa Jones, Dan Kifer, Ashwin Machanavajjhala, Frank McSherry, Gerome Miklau, Kobbi Nissim, Paul Oyer, Mallesh Pai, Jerry Reiter, Eric Slud, Adam Smith, Bruce Spencer, Sara Sullivan, Salil Vadhan, Lars Vilhuber, Glen Weyl, and Nellie Zhao along with seminar and conference participants at the U.S. Census Bureau, Cornell, CREST, George Ma- son, Georgetown, Microsoft Research–NYC, University of Washington Evans School, and SOLE. -
Chicago Journal of Theoretical Computer Science the MIT Press
Chicago Journal of Theoretical Computer Science The MIT Press Volume 1997, Article 1 12 March 1997 ISSN 1073–0486. MIT Press Journals, 55 Hayward St., Cambridge, MA 02142 USA; (617)253-2889; [email protected], [email protected]. Published one article at a time in LATEX source form on the Internet. Pag- ination varies from copy to copy. For more information and other articles see: http://www-mitpress.mit.edu/jrnls-catalog/chicago.html • http://www.cs.uchicago.edu/publications/cjtcs/ • ftp://mitpress.mit.edu/pub/CJTCS • ftp://cs.uchicago.edu/pub/publications/cjtcs • Feige and Kilian Limited vs. Polynomial Nondeterminism (Info) The Chicago Journal of Theoretical Computer Science is abstracted or in- R R R dexed in Research Alert, SciSearch, Current Contents /Engineering Com- R puting & Technology, and CompuMath Citation Index. c 1997 The Massachusetts Institute of Technology. Subscribers are licensed to use journal articles in a variety of ways, limited only as required to insure fair attribution to authors and the journal, and to prohibit use in a competing commercial product. See the journal’s World Wide Web site for further details. Address inquiries to the Subsidiary Rights Manager, MIT Press Journals; (617)253-2864; [email protected]. The Chicago Journal of Theoretical Computer Science is a peer-reviewed scholarly journal in theoretical computer science. The journal is committed to providing a forum for significant results on theoretical aspects of all topics in computer science. Editor in chief: Janos Simon Consulting -
Calibrating Noise to Sensitivity in Private Data Analysis
Calibrating Noise to Sensitivity in Private Data Analysis Cynthia Dwork1, Frank McSherry1, Kobbi Nissim2, and Adam Smith3? 1 Microsoft Research, Silicon Valley. {dwork,mcsherry}@microsoft.com 2 Ben-Gurion University. [email protected] 3 Weizmann Institute of Science. [email protected] Abstract. We continue a line of research initiated in [10, 11] on privacy- preserving statistical databases. Consider a trusted server that holds a database of sensitive information. Given a query function f mapping databases to reals, the so-called true answer is the result of applying f to the database. To protect privacy, the true answer is perturbed by the addition of random noise generated according to a carefully chosen distribution, and this response, the true answer plus noise, is returned to the user. Previous work focused on the case of noisy sums, in which f = P i g(xi), where xi denotes the ith row of the database and g maps database rows to [0, 1]. We extend the study to general functions f, proving that privacy can be preserved by calibrating the standard devi- ation of the noise according to the sensitivity of the function f. Roughly speaking, this is the amount that any single argument to f can change its output. The new analysis shows that for several particular applications substantially less noise is needed than was previously understood to be the case. The first step is a very clean characterization of privacy in terms of indistinguishability of transcripts. Additionally, we obtain separation re- sults showing the increased value of interactive sanitization mechanisms over non-interactive. -
Magic Adversaries Versus Individual Reduction: Science Wins Either Way ?
Magic Adversaries Versus Individual Reduction: Science Wins Either Way ? Yi Deng1;2 1 SKLOIS, Institute of Information Engineering, CAS, Beijing, P.R.China 2 State Key Laboratory of Cryptology, P. O. Box 5159, Beijing ,100878,China [email protected] Abstract. We prove that, assuming there exists an injective one-way function f, at least one of the following statements is true: – (Infinitely-often) Non-uniform public-key encryption and key agreement exist; – The Feige-Shamir protocol instantiated with f is distributional concurrent zero knowledge for a large class of distributions over any OR NP-relations with small distinguishability gap. The questions of whether we can achieve these goals are known to be subject to black-box lim- itations. Our win-win result also establishes an unexpected connection between the complexity of public-key encryption and the round-complexity of concurrent zero knowledge. As the main technical contribution, we introduce a dissection procedure for concurrent ad- versaries, which enables us to transform a magic concurrent adversary that breaks the distribu- tional concurrent zero knowledge of the Feige-Shamir protocol into non-black-box construc- tions of (infinitely-often) public-key encryption and key agreement. This dissection of complex algorithms gives insight into the fundamental gap between the known universal security reductions/simulations, in which a single reduction algorithm or simu- lator works for all adversaries, and the natural security definitions (that are sufficient for almost all cryptographic primitives/protocols), which switch the order of qualifiers and only require that for every adversary there exists an individual reduction or simulator. 1 Introduction The seminal work of Impagliazzo and Rudich [IR89] provides a methodology for studying the lim- itations of black-box reductions. -
Kein Folientitel
182.703: Problems in Distributed Computing (Part 3) WS 2019 Ulrich Schmid Institute of Computer Engineering, TU Vienna Embedded Computing Systems Group E191-02 [email protected] Content (Part 3) The Role of Synchrony Conditions Failure Detectors Real-Time Clocks Partially Synchronous Models Models supporting lock-step round simulations Weaker partially synchronous models Dynamic distributed systems U. Schmid 182.703 PRDC 2 The Role of Synchrony Conditions U. Schmid 182.703 PRDC 3 Recall Distributed Agreement (Consensus) Yes No Yes NoYes? None? meet All meet Yes No No U. Schmid 182.703 PRDC 4 Recall Consensus Impossibility (FLP) Fischer, Lynch und Paterson [FLP85]: “There is no deterministic algorithm for solving consensus in an asynchronous distributed system in the presence of a single crash failure.” Key problem: Distinguish slow from dead! U. Schmid 182.703 PRDC 5 Consensus Solvability in ParSync [DDS87] (I) Dolev, Dwork and Stockmeyer investigated consensus solvability in Partially Synchronous Systems (ParSync), varying 5 „synchrony handles“ : • Processors synchronous / asynchronous • Communication synchronous / asynchronous • Message order synchronous (system-wide consistent) / asynchronous (out-of-order) • Send steps broadcast / unicast • Computing steps atomic rec+send / separate rec, send U. Schmid 182.703 PRDC 6 Consensus Solvability in ParSync [DDS87] (II) Wait-free consensus possible Consensus impossible s/r Consensus possible s+r for f=1 ucast bcast async sync Global message order message Global async sync Communication U. Schmid 182.703 PRDC 7 The Role of Synchrony Conditions Enable failure detection Enforce event ordering • Distinguish „old“ from „new“ • Ruling out existence of stale (in-transit) information • Distinguish slow from dead • Creating non-overlapping „phases of operation“ (rounds) U. -
Calibrating Noise to Sensitivity in Private Data Analysis
Calibrating Noise to Sensitivity in Private Data Analysis Cynthia Dwork1, Frank McSherry1, Kobbi Nissim2, and Adam Smith3? 1 Microsoft Research, Silicon Valley. {dwork,mcsherry}@microsoft.com 2 Ben-Gurion University. [email protected] 3 Weizmann Institute of Science. [email protected] Abstract. We continue a line of research initiated in [10, 11] on privacy- preserving statistical databases. Consider a trusted server that holds a database of sensitive information. Given a query function f mapping databases to reals, the so-called true answer is the result of applying f to the database. To protect privacy, the true answer is perturbed by the addition of random noise generated according to a carefully chosen distribution, and this response, the true answer plus noise, is returned to the user. P Previous work focused on the case of noisy sums, in which f = i g(xi), where xi denotes the ith row of the database and g maps data- base rows to [0, 1]. We extend the study to general functions f, proving that privacy can be preserved by calibrating the standard deviation of the noise according to the sensitivity of the function f. Roughly speak- ing, this is the amount that any single argument to f can change its output. The new analysis shows that for several particular applications substantially less noise is needed than was previously understood to be the case. The first step is a very clean characterization of privacy in terms of indistinguishability of transcripts. Additionally, we obtain separation re- sults showing the increased value of interactive sanitization mechanisms over non-interactive. -
2011 Edsger W. Dijkstra Prize in Distributed Computing
2011 Edsger W. Dijkstra Prize in Distributed Computing We are proud to announce that the 2011 Edsger W. Dijkstra Prize in Distributed Computing is awarded to Hagit Attiya, Amotz Bar-Noy, and Danny Dolev, for their paper Sharing Memory Robustly in Message-Passing Systems which appeared in the Journal of the ACM (JACM) 42(1):124-142 (1995). This fundamental paper presents the first asynchronous fault-tolerant simulation of shared memory in a message passing system. In 1985 Fischer, Lynch, and Paterson (FLP) proved that consensus is not attainable in asynchronous message passing systems with failures. In the following years, Loui and Abu-Amara, and Herlihy proved that solving consensus in an asynchronous shared memory system is harder than implementing a read/write register. However, it was not known whether read/ write registers are implementable in asynchronous message-passing systems with failures. Hagit Attiya, Amotz Bar-Noy, and Danny Dolev’s paper (ABD) answered this fundamental question afrmatively. The ABD paper makes an important foundational contribution by allowing one to “view the shared-memory model as a higher-level language for designing algorithms in asynchronous distributed systems.” In a manner similar to that in which Turing Machines were proved equivalent to Random Access Memory, ABD proved that the implications of FLP are not idiosyncratic to a particular model. Impossibility results and lower bounds can be proved in the higher-level shared memory model, and then automatically translated to message passing. Besides FLP, this includes results such as the impossibility of k-set agreement in asynchronous systems as well as various weakest failure detector constructions. -
Combinatorial Topology and Distributed Computing Copyright 2010 Herlihy, Kozlov, and Rajsbaum All Rights Reserved
Combinatorial Topology and Distributed Computing Copyright 2010 Herlihy, Kozlov, and Rajsbaum All rights reserved Maurice Herlihy Dmitry Kozlov Sergio Rajsbaum February 22, 2011 DRAFT 2 DRAFT Contents 1 Introduction 9 1.1 DecisionTasks .......................... 10 1.2 Communication.......................... 11 1.3 Failures .............................. 11 1.4 Timing............................... 12 1.4.1 ProcessesandProtocols . 12 1.5 ChapterNotes .......................... 14 2 Elements of Combinatorial Topology 15 2.1 Theobjectsandthemaps . 15 2.1.1 The Combinatorial View . 15 2.1.2 The Geometric View . 17 2.1.3 The Topological View . 18 2.2 Standardconstructions. 18 2.3 Chromaticcomplexes. 21 2.4 Simplicial models in Distributed Computing . 22 2.5 ChapterNotes .......................... 23 2.6 Exercises ............................. 23 3 Manifolds, Impossibility,DRAFT and Separation 25 3.1 ManifoldComplexes ....................... 25 3.2 ImmediateSnapshots. 28 3.3 ManifoldProtocols .. .. .. .. .. .. .. 34 3.4 SetAgreement .......................... 34 3.5 AnonymousProtocols . .. .. .. .. .. .. 38 3.6 WeakSymmetry-Breaking . 39 3.7 Anonymous Set Agreement versus Weak Symmetry Breaking 40 3.8 ChapterNotes .......................... 44 3.9 Exercises ............................. 44 3 4 CONTENTS 4 Connectivity 47 4.1 Consensus and Path-Connectivity . 47 4.2 Consensus in Asynchronous Read-Write Memory . 49 4.3 Set Agreement and Connectivity in Higher Dimensions . 53 4.4 Set Agreement and Read-Write memory . 59 4.4.1 Critical States . 63 4.5 ChapterNotes .......................... 64 4.6 Exercises ............................. 64 5 Colorless Tasks 67 5.1 Pseudospheres .......................... 68 5.2 ColorlessTasks .......................... 72 5.3 Wait-Free Read-Write Memory . 73 5.3.1 Read-Write Protocols and Pseudospheres . 73 5.3.2 Necessary and Sufficient Conditions . 75 5.4 Read-Write Memory with k-Set Agreement .