Jonathan Ullman

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Medförfattare

Aaron RothProfessor of Computer Science, University of PennsylvaniaVerifierad e-postadress på cis.upenn.edu
Thomas SteinkeGoogle Research, Brain TeamVerifierad e-postadress på google.com
Adam SmithProfessor of Computer Science, Boston UniversityVerifierad e-postadress på bu.edu
Salil VadhanVicky Joseph Professor of Computer Science and Applied Mathematics, Harvard UniversityVerifierad e-postadress på g.harvard.edu
Kobbi NissimDept. of Computer Science (Georgetown) & Center for Research on Computation and Society (Harvard)Verifierad e-postadress på georgetown.edu
Gautam KamathAssistant Professor, University of WaterlooVerifierad e-postadress på csail.mit.edu
Mallesh M. PaiRice UniversityVerifierad e-postadress på rice.edu
Albert CheuPhD Student, Northeastern UniversityVerifierad e-postadress på northeastern.edu
Cynthia DworkMicrosoft ResearchVerifierad e-postadress på microsoft.com
Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerifierad e-postadress på cis.upenn.edu
Justin ThalerGeorgetown UniversityVerifierad e-postadress på georgetown.edu
Raef BassilyAssistant Professor, Computer Science & Engineering, The Ohio State UniversityVerifierad e-postadress på osu.edu
Zhiwei Steven WuCarnegie Mellon UniversityVerifierad e-postadress på andrew.cmu.edu
Anupam GuptaProfessor of Computer Science, Carnegie Mellon UniversityVerifierad e-postadress på cs.cmu.edu
Moritz HardtUniversity of California, BerkeleyVerifierad e-postadress på berkeley.edu
Uri StemmerBen-Gurion UniversityVerifierad e-postadress på bgu.ac.il
Mark BunAssistant Professor, Boston UniversityVerifierad e-postadress på bu.edu
Ryan RogersUniversity of PennsylvaniaVerifierad e-postadress på sas.upenn.edu
Audra McMillanUniversity of MichiganVerifierad e-postadress på umich.edu
Clément L. CanonneUniversity of SydneyVerifierad e-postadress på cs.columbia.edu

Jonathan Ullman

Assistant Professor of Computer Science, Northeastern University

Verifierad e-postadress på ccs.neu.edu - Startsida

Differential Privacy Machine Learning Theory Cryptography


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	183	2016
Iterative constructions and private data release A Gupta, A Roth, J Ullman Theory of cryptography conference, 339-356, 2012	155	2012
Privately releasing conjunctions and the statistical query barrier A Gupta, M Hardt, A Roth, J Ullman SIAM Journal on Computing 42 (4), 1494-1520, 2013	136	2013
Fingerprinting codes and the price of approximate differential privacy M Bun, J Ullman, S Vadhan SIAM Journal on Computing 47 (5), 1888-1938, 2018	111	2018
Robust mediators in large games M Kearns, MM Pai, R Rogers, A Roth, J Ullman arXiv preprint arXiv:1512.02698, 2015	110*	2015
The price of privately releasing contingency tables and the spectra of random matrices with correlated rows SP Kasiviswanathan, M Rudelson, A Smith, J Ullman Proceedings of the forty-second ACM symposium on Theory of computing, 775-784, 2010	101	2010
Robust traceability from trace amounts C Dwork, A Smith, T Steinke, J Ullman, S Vadhan 2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 650-669, 2015	92	2015
Exposed! a survey of attacks on private data C Dwork, A Smith, T Steinke, J Ullman Annual Reviews, 2017	89	2017
Answering Counting Queries with Differential Privacy is Hard J Ullman SIAM Journal on Computing 45 (2), 473-496, 2016	89	2016
Preventing false discovery in interactive data analysis is hard M Hardt, J Ullman Foundations of Computer Science (FOCS), 2014 IEEE 55th Annual Symposium on …, 2014	88	2014
PCPs and the hardness of generating private synthetic data J Ullman, S Vadhan Theory of Cryptography Conference, 400-416, 2011	86*	2011
Faster algorithms for privately releasing marginals J Thaler, J Ullman, S Vadhan International Colloquium on Automata, Languages, and Programming, 810-821, 2012	77	2012
Interactive fingerprinting codes and the hardness of preventing false discovery T Steinke, J Ullman Conference on learning theory, 1588-1628, 2015	75	2015
Distributed Differential Privacy via Shuffling A Cheu, A Smith, J Ullman, D Zeber, M Zhilyaev	73*	2018
Between pure and approximate differential privacy T Steinke, J Ullman arXiv preprint arXiv:1501.06095, 2015	69	2015
PSI: a Private data Sharing Interface M Gaboardi, J Honaker, G King, K Nissim, J Ullman, S Vadhan arXiv preprint arXiv:1609.04340, 2016	51	2016
Privacy odometers and filters: Pay-as-you-go composition RM Rogers, A Roth, J Ullman, S Vadhan Advances in Neural Information Processing Systems 29, 1921-1929, 2016	46	2016
Privately solving linear programs J Hsu, A Roth, T Roughgarden, J Ullman International Colloquium on Automata, Languages, and Programming, 612-624, 2014	46	2014
Private multiplicative weights beyond linear queries J Ullman Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2015	45	2015
Differential privacy for the analyst via private equilibrium computation J Hsu, A Roth, J Ullman Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013	37	2013

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