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
6542008
Boosting the accuracy of differentially-private histograms through consistency
M Hay, V Rastogi, G Miklau, D Suciu
arXiv preprint arXiv:0904.0942, 2009
5912009
Anonymizing social networks
M Hay, G Miklau, D Jensen, P Weis, S Srivastava
Computer science department faculty publication series, 180, 2007
4472007
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
3492010
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
3312009
Learning relational probability trees
J Neville, D Jensen, L Friedland, M Hay
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
3012003
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
1852012
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
1582011
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
1562009
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
1432014
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
1222016
Resisting structural re-identification in anonymized social networks
M Hay, G Miklau, D Jensen, D Towsley, C Li
The VLDB Journal 19 (6), 797-823, 2010
1192010
Crowd-blending privacy
J Gehrke, M Hay, E Lui, R Pass
Annual Cryptology Conference, 479-496, 2012
1112012
The matrix mechanism: optimizing linear counting queries under differential privacy
C Li, G Miklau, M Hay, A McGregor, V Rastogi
The VLDB journal 24 (6), 757-781, 2015
812015
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
692003
Pulse Survey: The Quest for Growth: a Survey of UK Private Companies
MG Hay, K Spencer
Binder Hamlyn, 1994
511994
Avoiding bias when aggregating relational data with degree disparity
D Jensen, J Neville, M Hay
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
502003
Optimizing error of high-dimensional statistical queries under differential privacy
R McKenna, G Miklau, M Hay, A Machanavajjhala
arXiv preprint arXiv:1808.03537, 2018
492018
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
462017
Differential privacy in the wild: A tutorial on current practices & open challenges
A Machanavajjhala, X He, M Hay
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
382017
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