Adam Smith

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Cynthia DworkMicrosoft ResearchVerified email at microsoft.com
Leonid ReyzinProfessor of Computer Science, Boston UniversityVerified email at cs.bu.edu
Kobbi NissimDept. of Computer Science (Georgetown)Verified email at georgetown.edu
Sofya RaskhodnikovaBoston UniversityVerified email at 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
Frank McSherryMaterialize, Inc.Verified email at materialize.io
Abhradeep Guha ThakurtaGoogle Research - Brain TeamVerified email at google.com
Rafail OstrovskyNorman E. Friedman Chair in Knowledge Sciences, Distinguished Prof. of CS & MATHVerified email at cs.ucla.edu
Shiva KasiviswanathanAmazon Machine LearningVerified email at amazon.com
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
Daniel GottesmanUniversity of Maryland Computer ScienceVerified email at umd.edu
Claude CrépeauMcGill UniversityVerified email at cs.mcgill.ca
Thomas SteinkeGoogle DeepMindVerified email at google.com
Homin K. LeeDatadogVerified email at columbia.edu
Ran CanettiProfessor of Computer Science, Boston UniversityVerified email at bu.edu
Audra McMillanUniversity of MichiganVerified email at umich.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

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	7931	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	4045*	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	1317	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	1218	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	859	2014
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	486	2008
Local, private, efficient protocols for succinct histograms R Bassily, A Smith Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015	452	2015
Private convex empirical risk minimization and high-dimensional regression D Kifer, A Smith, A Thakurta Conference on Learning Theory, 25.1-25.40, 2012	391	2012
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	380	2005
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	352	2013
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	352	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	333	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	322	2010
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	316*	2006
Leftover hashing against quantum side information M Tomamichel, C Schaffner, A Smith, R Renner IEEE Transactions on Information Theory 57 (8), 5524-5535, 2011	300	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	299	2010
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	297	2019
Private analysis of graph structure V Karwa, S Raskhodnikova, A Smith, G Yaroslavtsev Proceedings of the VLDB Endowment 4 (11), 1146-1157, 2011	291	2011
Privacy-preserving statistical estimation with optimal convergence rates A Smith Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011	291	2011
Algorithmic stability for adaptive data analysis R Bassily, K Nissim, A Smith, T Steinke, U Stemmer, J Ullman Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016	278	2016

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