Jonathan Ullman
Jonathan Ullman
Assistant Professor of Computer Science, Northeastern University
Verified email at ccs.neu.edu - Homepage
Title
Cited by
Cited by
Year
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
1682016
Iterative constructions and private data release
A Gupta, A Roth, J Ullman
Theory of cryptography conference, 339-356, 2012
1502012
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
1292013
Robust mediators in large games
M Kearns, MM Pai, R Rogers, A Roth, J Ullman
arXiv preprint arXiv:1512.02698, 2015
106*2015
Fingerprinting codes and the price of approximate differential privacy
M Bun, J Ullman, S Vadhan
SIAM Journal on Computing 47 (5), 1888-1938, 2018
1002018
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
992010
Answering Counting Queries with Differential Privacy is Hard
J Ullman
SIAM Journal on Computing 45 (2), 473-496, 2016
882016
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
882015
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
852014
PCPs and the hardness of generating private synthetic data
J Ullman, S Vadhan
Theory of Cryptography Conference, 400-416, 2011
80*2011
Exposed! a survey of attacks on private data
C Dwork, A Smith, T Steinke, J Ullman
Annual Reviews, 2017
782017
Interactive fingerprinting codes and the hardness of preventing false discovery
T Steinke, J Ullman
Conference on learning theory, 1588-1628, 2015
732015
Faster algorithms for privately releasing marginals
J Thaler, J Ullman, S Vadhan
International Colloquium on Automata, Languages, and Programming, 810-821, 2012
732012
Between pure and approximate differential privacy
T Steinke, J Ullman
arXiv preprint arXiv:1501.06095, 2015
632015
Distributed Differential Privacy via Shuffling
A Cheu, A Smith, J Ullman, D Zeber, M Zhilyaev
61*2018
PSI: a Private data Sharing Interface
M Gaboardi, J Honaker, G King, K Nissim, J Ullman, S Vadhan
arXiv preprint arXiv:1609.04340, 2016
492016
Privacy odometers and filters: Pay-as-you-go composition
RM Rogers, A Roth, J Ullman, S Vadhan
Advances in Neural Information Processing Systems, 1921-1929, 2016
442016
Private multiplicative weights beyond linear queries
J Ullman
Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2015
442015
Privately solving linear programs
J Hsu, A Roth, T Roughgarden, J Ullman
International Colloquium on Automata, Languages, and Programming, 612-624, 2014
432014
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
352013
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