Adam Smith

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Cynthia DworkMicrosoft ResearchVerified email at microsoft.com
Sofya RaskhodnikovaBoston UniversityVerified email at bu.edu
Kobbi NissimDept. of Computer Science (Georgetown)Verified email at georgetown.edu
Leonid ReyzinProfessor of Computer Science, Boston UniversityVerified email at cs.bu.edu
Yevgeniy DodisProfessor, New York UniversityVerified email at cs.nyu.edu
Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Abhradeep Guha ThakurtaGoogle Research - Brain TeamVerified email at google.com
Frank McSherryMaterialize, Inc.Verified email at materialize.io
Shiva KasiviswanathanAmazon Machine LearningVerified email at amazon.com
Rafail OstrovskyNorman E. Friedman Chair in Knowledge Sciences, Distinguished Prof. of CS & MATHVerified email at cs.ucla.edu
Jonathan KatzProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Raef BassilyAssociate Professor, Computer Science & Engineering, The Ohio State UniversityVerified email at osu.edu
Thomas SteinkeGoogle DeepMindVerified email at google.com
Claude CrépeauMcGill UniversityVerified email at cs.mcgill.ca
Homin K. LeeDatadogVerified email at columbia.edu
Ran CanettiProfessor of Computer Science, Boston UniversityVerified email at bu.edu
Salil VadhanVicky Joseph Professor of Computer Science and Applied Mathematics, Harvard UniversityVerified email at g.harvard.edu
Benjamin FullerUniversity of ConnecticutVerified email at uconn.edu
Dana RonTel Aviv UniversityVerified email at tau.ac.il
Chris PeikertProfessor, Computer Science and Engineering, University of MichiganVerified email at alum.mit.edu

Adam Smith

Professor of Computer Science, Boston University

Verified email at bu.edu - Homepage

Data privacy cryptography machine learning algorithms information theory


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Calibrating noise to sensitivity in private data analysis C Dwork, F McSherry, K Nissim, A Smith Theory of Cryptography: Third Theory of Cryptography Conference, TCC 2006 …, 2006	9688	2006
Fuzzy extractors: How to generate strong keys from biometrics and other noisy data Y Dodis, L Reyzin, A Smith Advances In Cryptology-EUROCRYPT 2004: International Conference On The …, 2004	4366*	2004
What can we learn privately? SP Kasiviswanathan, HK Lee, K Nissim, S Raskhodnikova, A Smith Foundations of Computer Science, 2008. FOCS'08. IEEE 49th Annual IEEE …, 2008	1654	2008
Smooth sensitivity and sampling in private data analysis K Nissim, S Raskhodnikova, A Smith Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007	1432	2007
Private empirical risk minimization: Efficient algorithms and tight error bounds R Bassily, A Smith, A Thakurta 2014 IEEE 55th annual symposium on foundations of computer science, 464-473, 2014	1087	2014
Local, private, efficient protocols for succinct histograms R Bassily, A Smith Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015	530	2015
Composition attacks and auxiliary information in data privacy SR Ganta, SP Kasiviswanathan, A Smith Proceeding of the 14th ACM SIGKDD international conference on Knowledge …, 2008	516	2008
Private convex empirical risk minimization and high-dimensional regression D Kifer, A Smith, A Thakurta Conference on Learning Theory, 25.1-25.40, 2012	473	2012
Analyzing graphs with node differential privacy SP Kasiviswanathan, K Nissim, S Raskhodnikova, A Smith Theory of Cryptography: 10th Theory of Cryptography Conference, TCC 2013 …, 2013	414	2013
Distributed differential privacy via shuffling A Cheu, A Smith, J Ullman, D Zeber, M Zhilyaev Advances in Cryptology–EUROCRYPT 2019: 38th Annual International Conference …, 2019	398	2019
Toward privacy in public databases S Chawla, C Dwork, F McSherry, A Smith, H Wee Theory of Cryptography: Second Theory of Cryptography Conference, TCC 2005 …, 2005	390	2005
Authentication of quantum messages H Barnum, C Crépeau, D Gottesman, A Smith, A Tapp The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002 …, 2002	377	2002
Secure remote authentication using biometric data X Boyen, Y Dodis, J Katz, R Ostrovsky, A Smith Advances in Cryptology–EUROCRYPT 2005: 24th Annual International Conference …, 2005	350	2005
Differential privacy for statistics: What we know and what we want to learn C Dwork, A Smith Journal of Privacy and Confidentiality 1 (2), 2010	349	2010
Leftover hashing against quantum side information M Tomamichel, C Schaffner, A Smith, R Renner IEEE Transactions on Information Theory 57 (8), 5524-5535, 2011	339	2011
Private analysis of graph structure V Karwa, S Raskhodnikova, A Smith, G Yaroslavtsev Proceedings of the VLDB Endowment 4 (11), 1146-1157, 2011	336	2011
Robust fuzzy extractors and authenticated key agreement from close secrets Y Dodis, J Katz, L Reyzin, A Smith Advances in Cryptology-CRYPTO 2006, 232-250, 2006	336*	2006
Privacy-preserving statistical estimation with optimal convergence rates A Smith Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011	332	2011
Discovering frequent patterns in sensitive data R Bhaskar, S Laxman, A Smith, A Thakurta Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	323	2010
Exposed! a survey of attacks on private data C Dwork, A Smith, T Steinke, J Ullman Annual Review of Statistics and Its Application 4 (1), 61-84, 2017	318	2017

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