Travelled to:1 × Greece
4 × USA
Collaborated with:G.Miklau D.Jensen V.Rastogi J.Neville D.Suciu C.Li Y.Wang X.Xiao G.Bender J.Gehrke L.Friedland K.Liu J.Pei E.Terzi A.McGregor D.F.Towsley P.Weis
Talks about:privaci (5) differenti (4) queri (4) relat (3) data (3) network (2) under (2) awar (2) relationship (1) histogram (1)
Person: Michael Hay
DBLP: Hay:Michael
Contributed to:
2014
2011
2010201020092008
2003
2003Wrote 9 papers:
- VLDB-2014-LiHMW #algorithm #difference #privacy #query
- A Data- and Workload-Aware Query Answering Algorithm for Range Queries Under Differential Privacy (CL, MH, GM, YW), pp. 341–352.
- SIGMOD-2011-HayLMPT #data transformation #network #privacy
- Privacy-aware data management in information networks (MH, KL, GM, JP, ET), pp. 1201–1204.
- SIGMOD-2011-XiaoBHG #difference #fault #named #privacy
- iReduct: differential privacy with reduced relative errors (XX, GB, MH, JG), pp. 229–240.
- PODS-2010-LiHRMM #difference #linear #optimisation #privacy #query
- Optimizing linear counting queries under differential privacy (CL, MH, VR, GM, AM), pp. 123–134.
- VLDB-2010-HayRMS #consistency
- Boosting the Accuracy of Differentially Private Histograms Through Consistency (MH, VR, GM, DS), pp. 1021–1032.
- PODS-2009-RastogiHMS #privacy #query
- Relationship privacy: output perturbation for queries with joins (VR, MH, GM, DS), pp. 107–116.
- VLDB-2008-HayMJTW #identification #network #social
- Resisting structural re-identification in anonymized social networks (MH, GM, DJ, DFT, PW), pp. 102–114.
- ICML-2003-JensenNH #bias #relational
- Avoiding Bias when Aggregating Relational Data with Degree Disparity (DJ, JN, MH), pp. 274–281.
- KDD-2003-NevilleJFH #learning #probability #relational
- Learning relational probability trees (JN, DJ, LF, MH), pp. 625–630.