Or Sheffet

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Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
pranjal awasthiGoogleDirección de correo verificada de rutgers.edu
Anupam DattaSnowflake AI Research, Ex-Professor CMUDirección de correo verificada de snowflake.com
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityDirección de correo verificada de seas.harvard.edu
Tyler LuResearch Scientist, MetaDirección de correo verificada de cs.toronto.edu
Ioannis CaragiannisProfessor of Computer Science, Aarhus UniversityDirección de correo verificada de cs.au.dk
Craig BoutilierPrincipal Scientist, GoogleDirección de correo verificada de google.com
Peter Bro MiltersenFormer Professor of Computer Science at Aarhus UniversityDirección de correo verificada de cs.au.dk
Aravindan VijayaraghavanNorthwestern UniversityDirección de correo verificada de northwestern.edu
Yiling ChenHarvard UniversityDirección de correo verificada de seas.harvard.edu
Saranga KomanduriCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Santosh S. VempalaGeorgia TechDirección de correo verificada de gatech.edu
Jamie MorgensternUniversity of WashingtonDirección de correo verificada de cs.washington.edu

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Or Sheffet

Bar-Ilan Universtiy

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Differential Privacy Machine Learning Clustering Game Theory


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
The johnson-lindenstrauss transform itself preserves differential privacy J Blocki, A Blum, A Datta, O Sheffet 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science, 410-419, 2012	295	2012
Differentially private data analysis of social networks via restricted sensitivity J Blocki, A Blum, A Datta, O Sheffet Proceedings of the 4th conference on Innovations in Theoretical Computer …, 2013	268	2013
Optimal social choice functions: A utilitarian view C Boutilier, I Caragiannis, S Haber, T Lu, AD Procaccia, O Sheffet Proceedings of the 13th ACM Conference on Electronic Commerce, 197-214, 2012	264	2012
Center-based clustering under perturbation stability P Awasthi, A Blum, O Sheffet Information Processing Letters 112 (1-2), 49-54, 2012	172	2012
Differentially private ordinary least squares O Sheffet International Conference on Machine Learning, 3105-3114, 2017	162	2017
Improved spectral-norm bounds for clustering P Awasthi, O Sheffet International Workshop on Approximation Algorithms for Combinatorial …, 2012	137	2012
Differentially private contextual linear bandits R Shariff, O Sheffet Advances in Neural Information Processing Systems 31, 2018	135	2018
Stability yields a PTAS for k-median and k-means clustering P Awasthi, A Blum, O Sheffet 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, 309-318, 2010	112	2010
Send mixed signals: earn more, work less P Bro Miltersen, O Sheffet Proceedings of the 13th ACM conference on electronic commerce, 234-247, 2012	103	2012
Learning mixtures of ranking models P Awasthi, A Blum, O Sheffet, A Vijayaraghavan Advances in Neural Information Processing Systems 27, 2014	90	2014
Old techniques in differentially private linear regression O Sheffet Algorithmic Learning Theory, 789-827, 2019	73*	2019
Locally Private Mean Estimation: -test and Tight Confidence Intervals M Gaboardi, R Rogers, O Sheffet The 22nd international conference on artificial intelligence and statistics …, 2019	66	2019
Differentially private algorithms for learning mixtures of separated gaussians G Kamath, O Sheffet, V Singhal, J Ullman Advances in Neural Information Processing Systems 32, 2019	63	2019
Locally private hypothesis testing O Sheffet International Conference on Machine Learning, 4605-4614, 2018	62	2018
An optimal private stochastic-mab algorithm based on optimal private stopping rule T Sajed, O Sheffet International Conference on Machine Learning, 5579-5588, 2019	56	2019
Graph colouring with no large monochromatic components N Linial, J Matoušek, O Sheffet, G Tardos Combinatorics, Probability and Computing 17 (4), 577-589, 2008	48	2008
Optimizing password composition policies J Blocki, S Komanduri, A Procaccia, O Sheffet Proceedings of the fourteenth ACM conference on Electronic commerce, 105-122, 2013	47	2013
Systems and methods for video monitoring using linked devices I Horovitz, S Kiro, O Sheffet US Patent 8,531,522, 2013	40	2013
On the randomness complexity of property testing O Goldreich, O Sheffet Computational Complexity 19, 99-133, 2010	29	2010
The power of synergy in differential privacy: Combining a small curator with local randomizers A Beimel, A Korolova, K Nissim, O Sheffet, U Stemmer arXiv preprint arXiv:1912.08951, 2019	21	2019

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