Adam Smith

Cited by

	All	Since 2016
Citations	17538	10266
h-index	53	39
i10-index	88	74

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20042005200620072008200920102011201220132014201520162017201820192020202168 152 218 269 406 460 639 620 861 1007 1101 1202 1488 1768 1803 2317 2805 84

Co-authors

Leonid ReyzinAssociate Professor of Computer Science, Boston UniversityVerified email at cs.bu.edu
Yevgeniy DodisProfessor, New York UniversityVerified email at cs.nyu.edu
Cynthia DworkMicrosoft ResearchVerified email at microsoft.com
Kobbi NissimDept. of Computer Science (Georgetown) & Center for Research on Computation and Society (Harvard)Verified email at georgetown.edu
Sofya RaskhodnikovaBoston UniversityVerified email at bu.edu
Rafail OstrovskyProfessor of Computer Science and Professor of Mathematics, UCLAVerified email at cs.ucla.edu
Jonathan KatzProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Frank McSherryMaterialize, Inc.Verified email at materialize.io
Shiva KasiviswanathanAmazon Machine LearningVerified email at amazon.com
Abhradeep Guha ThakurtaAssistant Professor, University of California Santa CruzVerified email at ucsc.edu
Jonathan UllmanAssistant Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Raef BassilyAssistant Professor, Computer Science & Engineering, The Ohio State UniversityVerified email at osu.edu
Daniel GottesmanPerimeter Institute for Theoretical PhysicsVerified email at perimeterinstitute.ca
Claude CrépeauMcGill UniversityVerified email at cs.mcgill.ca
Thomas SteinkeGoogle Research, Brain TeamVerified email at google.com
Homin K. LeeDatadogVerified email at columbia.edu
Ran CanettiProfessor of Computer Science, Boston UniversityVerified email at bu.edu
Dana RonTel Aviv UniversityVerified email at tau.ac.il
Benjamin FullerUniversity of ConnecticutVerified email at uconn.edu
Shuchi ChawlaUniversity of Wisconsin - MadisonVerified email at cs.wisc.edu

Adam Smith

Professor of Computer Science, Boston University

Verified email at bu.edu - Homepage

Data privacy cryptography machine learning algorithms information theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Calibrating noise to sensitivity in private data analysis C Dwork, F McSherry, K Nissim, A Smith Theory of cryptography conference, 265-284, 2006	4618	2006
Fuzzy extractors: How to generate strong keys from biometrics and other noisy data Y Dodis, L Reyzin, A Smith International conference on the theory and applications of cryptographic …, 2004	3280*	2004
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	856	2007
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	680	2008
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	389	2008
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	388	2014
Toward privacy in public databases S Chawla, C Dwork, F McSherry, A Smith, H Wee Theory of Cryptography Conference, 363-385, 2005	332	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	290	2002
Secure remote authentication using biometric data X Boyen, Y Dodis, J Katz, R Ostrovsky, A Smith annual international conference on the theory and applications of …, 2005	288	2005
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	264*	2006
Local, private, efficient protocols for succinct histograms R Bassily, A Smith Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015	260	2015
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	258	2010
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	257	2010
Private convex empirical risk minimization and high-dimensional regression D Kifer, A Smith, A Thakurta Conference on Learning Theory, 25.1-25.40, 2012	250	2012
Leftover hashing against quantum side information M Tomamichel, C Schaffner, A Smith, R Renner IEEE Transactions on Information Theory 57 (8), 5524-5535, 2011	210	2011
Analyzing graphs with node differential privacy SP Kasiviswanathan, K Nissim, S Raskhodnikova, A Smith Theory of Cryptography Conference, 457-476, 2013	209	2013
Privacy-preserving statistical estimation with optimal convergence rates A Smith Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011	202	2011
Correcting errors without leaking partial information Y Dodis, A Smith Proceedings of the thirty-seventh annual ACM symposium on Theory of …, 2005	200	2005
Private analysis of graph structure V Karwa, S Raskhodnikova, A Smith, G Yaroslavtsev Proceedings of the VLDB Endowment 4 (11), 1146-1157, 2011	193	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	185	2016

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