Michael Hay

	2011
15		Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, Evimaria Terzi: Privacy-aware data management in information networks. SIGMOD Conference 2011: 1201-1204
14		Xiaokui Xiao, Gabriel Bender, Michael Hay, Johannes Gehrke: iReduct: differential privacy with reduced relative errors. SIGMOD Conference 2011: 229-240
	2010
13		Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor: Optimizing linear counting queries under differential privacy. PODS 2010: 123-134
12		Michael Hay, Basil Saeed, Chung-Horng Lung, Anand Srinivasan: Co-located Physical-Layer Network Coding to mitigate passive eavesdropping. PST 2010: 1-2
11		Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Suciu: Boosting the Accuracy of Differentially Private Histograms Through Consistency. PVLDB 3(1): 1021-1032 (2010)
10		Michael Hay, Gerome Miklau, David Jensen, Donald F. Towsley, Chao Li: Resisting structural re-identification in anonymized social networks. VLDB J. 19(6): 797-823 (2010)
	2009
9		Michael Hay, Chao Li, Gerome Miklau, David Jensen: Accurate Estimation of the Degree Distribution of Private Networks. ICDM 2009: 169-178
8		Vibhor Rastogi, Michael Hay, Gerome Miklau, Dan Suciu: Relationship privacy: output perturbation for queries with joins. PODS 2009: 107-116
7		Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Suciu: Boosting the Accuracy of Differentially-Private Queries Through Consistency CoRR abs/0904.0942: (2009)
6		Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor: Optimizing Histogram Queries under Differential Privacy CoRR abs/0912.4742: (2009)
	2008
5		Michael Hay, Gerome Miklau, David Jensen, Donald F. Towsley, Philipp Weis: Resisting structural re-identification in anonymized social networks. PVLDB 1(1): 102-114 (2008)
	2004
4		Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay: An Integrated, Conditional Model of Information Extraction and Coreference with Appli. UAI 2004: 593-601
	2003
3		David Jensen, Jennifer Neville, Michael Hay: Avoiding Bias when Aggregating Relational Data with Degree Disparity. ICML 2003: 274-281
2		Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay: Learning relational probability trees. KDD 2003: 625-630
1		Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David Jensen: Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explorations 5(2): 165-172 (2003)

Coauthor Index

1	Gabriel Bender	[14]
2	Andrew S. Fast	[1]
3	Lisa Friedland	[1] [2]
4	Brian Gallagher	[1]
5	Johannes Gehrke	[14]
6	David Jensen	[1] [2] [3] [5] [9] [10]
7	Chao Li	[6] [9] [10] [13]
8	Kun Liu	[15]
9	Chung-Horng Lung	[12]
10	Andrew McCallum	[4]
11	Amy McGovern	[1]
12	Andrew McGregor	[6] [13]
13	Gerome Miklau	[5] [6] [7] [8] [9] [10] [11] [13] [15]
14	Jennifer Neville	[1] [2] [3]
15	Jian Pei	[15]
16	Fuchun Peng	[4]
17	Vibhor Rastogi	[6] [7] [8] [11] [13]
18	Basil Saeed	[12]
19	Anand Srinivasan	[12]
20	Dan Suciu	[7] [8] [11]
21	Evimaria Terzi	[15]
22	Donald F. Towsley (Don Towsley)	[5] [10]
23	Philipp Weis	[5]
24	Ben Wellner (Benjamin Wellner)	[4]
25	Xiaokui Xiao	[14]

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