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Bar-Ilan Universtiy
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Cited by
Cited by
Year
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
2572012
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
2422012
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
2402013
Center-based clustering under perturbation stability
P Awasthi, A Blum, O Sheffet
Information Processing Letters 112 (1-2), 49-54, 2012
1602012
Differentially private ordinary least squares
O Sheffet
International Conference on Machine Learning, 3105-3114, 2017
137*2017
Improved spectral-norm bounds for clustering
P Awasthi, O Sheffet
International Workshop on Approximation Algorithms for Combinatorial …, 2012
1272012
Differentially private contextual linear bandits
R Shariff, O Sheffet
Advances in Neural Information Processing Systems 31, 2018
1082018
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
1082010
Send mixed signals: earn more, work less
P Bro Miltersen, O Sheffet
Proceedings of the 13th ACM Conference on Electronic Commerce, 234-247, 2012
1072012
Learning mixtures of ranking models
P Awasthi, A Blum, O Sheffet, A Vijayaraghavan
Advances in Neural Information Processing Systems 27, 2014
882014
Old techniques in differentially private linear regression
O Sheffet
Algorithmic Learning Theory, 789-827, 2019
60*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
572019
Locally private hypothesis testing
O Sheffet
International Conference on Machine Learning, 4605-4614, 2018
572018
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
512019
Optimizing password composition policies
J Blocki, S Komanduri, A Procaccia, O Sheffet
Proceedings of the fourteenth ACM conference on Electronic commerce, 105-122, 2013
462013
Graph colouring with no large monochromatic components
N Linial, J Matoušek, O Sheffet, G Tardos
Combinatorics, Probability and Computing 17 (4), 577-589, 2008
432008
An optimal private stochastic-mab algorithm based on optimal private stopping rule
T Sajed, O Sheffet
International Conference on Machine Learning, 5579-5588, 2019
412019
Systems and methods for video monitoring using linked devices
I Horovitz, S Kiro, O Sheffet
US Patent 8,531,522, 2013
372013
On the randomness complexity of property testing
O Goldreich, O Sheffet
Computational Complexity 19, 99-133, 2010
262010
Improved guarantees for agnostic learning of disjunctions
P Awasthi, A Blum, O Sheffet
Carnegie Mellon University, 2010
202010
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