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Michael Hay
Michael Hay
Verified email at colgate.edu - Homepage
Title
Cited by
Cited by
Year
Resisting structural re-identification in anonymized social networks
M Hay, G Miklau, D Jensen, D Towsley, P Weis
Proceedings of the VLDB Endowment 1 (1), 102-114, 2008
7052008
Boosting the accuracy of differentially-private histograms through consistency
M Hay, V Rastogi, G Miklau, D Suciu
arXiv preprint arXiv:0904.0942, 2009
6942009
Anonymizing social networks
M Hay, G Miklau, D Jensen, P Weis, S Srivastava
Computer science department faculty publication series, 180, 2007
4792007
Accurate estimation of the degree distribution of private networks
M Hay, C Li, G Miklau, D Jensen
2009 Ninth IEEE International Conference on Data Mining, 169-178, 2009
4242009
Optimizing linear counting queries under differential privacy
C Li, M Hay, V Rastogi, G Miklau, A McGregor
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on …, 2010
3832010
Learning relational probability trees
J Neville, D Jensen, L Friedland, M Hay
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
3092003
An integrated, conditional model of information extraction and coreference with applications to citation matching
B Wellner, A McCallum, F Peng, M Hay
arXiv preprint arXiv:1207.4157, 2012
1872012
A data-and workload-aware algorithm for range queries under differential privacy
C Li, M Hay, G Miklau, Y Wang
arXiv preprint arXiv:1410.0265, 2014
1822014
iReduct: Differential privacy with reduced relative errors
X Xiao, G Bender, M Hay, J Gehrke
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
1802011
Relationship privacy: output perturbation for queries with joins
V Rastogi, M Hay, G Miklau, D Suciu
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on …, 2009
1762009
Principled evaluation of differentially private algorithms using dpbench
M Hay, A Machanavajjhala, G Miklau, Y Chen, D Zhang
Proceedings of the 2016 International Conference on Management of Data, 139-154, 2016
1622016
The matrix mechanism: optimizing linear counting queries under differential privacy
C Li, G Miklau, M Hay, A McGregor, V Rastogi
The VLDB journal 24, 757-781, 2015
1442015
Resisting structural re-identification in anonymized social networks
M Hay, G Miklau, D Jensen, D Towsley, C Li
The VLDB Journal 19, 797-823, 2010
1322010
Crowd-blending privacy
J Gehrke, M Hay, E Lui, R Pass
Advances in Cryptology–CRYPTO 2012: 32nd Annual Cryptology Conference, Santa …, 2012
1192012
Optimizing error of high-dimensional statistical queries under differential privacy
R McKenna, G Miklau, M Hay, A Machanavajjhala
arXiv preprint arXiv:1808.03537, 2018
1022018
Pegasus: Data-adaptive differentially private stream processing
Y Chen, A Machanavajjhala, M Hay, G Miklau
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
882017
Privatesql: a differentially private sql query engine
I Kotsogiannis, Y Tao, X He, M Fanaeepour, A Machanavajjhala, M Hay, ...
Proceedings of the VLDB Endowment 12 (11), 1371-1384, 2019
752019
Exploiting relational structure to understand publication patterns in high-energy physics
A McGovern, L Friedland, M Hay, B Gallagher, A Fast, J Neville, D Jensen
Acm Sigkdd Explorations Newsletter 5 (2), 165-172, 2003
702003
Ektelo: A framework for defining differentially-private computations
D Zhang, R McKenna, I Kotsogiannis, M Hay, A Machanavajjhala, ...
Proceedings of the 2018 International Conference on Management of Data, 115-130, 2018
622018
Fair decision making using privacy-protected data
D Pujol, R McKenna, S Kuppam, M Hay, A Machanavajjhala, G Miklau
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
602020
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