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Michael Hay
- Author ID
- u1371
- ORCID
-
-
- Links
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(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Colgate University
- Pagerank
- 0.17648094
- Overall Rank
- 349 | 98.40%
- Paper Count
- 20
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing all 20 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 121 |
Boosting the Accuracy of Differentially Private Histograms Through Consistency |
2010 |
VLDB |
76 |
0.00030972849 |
| 629 |
Optimizing Linear Counting Queries Under Differential Privacy |
2010 |
PODS |
38 |
0.00015421536 |
| 880 |
Relationship Privacy: Output Perturbation for Queries with Joins |
2009 |
PODS |
15 |
0.00013249752 |
| 1,170 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
53 |
0.00011687052 |
| 1,373 |
Resisting Structural Re-identification in Anonymized Social Networks |
2008 |
VLDB |
18 |
0.00010869791 |
| 1,533 |
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy |
2014 |
VLDB |
29 |
0.00010310932 |
| 2,099 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
29 |
9.0315525e-05 |
| 2,315 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
21 |
8.6412356e-05 |
| 2,863 |
iReduct: Differential Privacy with Reduced Relative Errors |
2011 |
SIGMOD |
13 |
7.9091713e-05 |
| 4,434 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
11 |
6.5862354e-05 |
| 5,159 |
Exploring Privacy-Accuracy Tradeoffs using DPComp |
2016 |
SIGMOD |
4 |
6.2354688e-05 |
| 5,698 |
Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges |
2017 |
SIGMOD |
4 |
6.0140309e-05 |
| 6,440 |
Privacy-Aware Data Management in Information Networks |
2011 |
SIGMOD |
4 |
5.7674913e-05 |
| 6,516 |
Differential Privacy in the Wild: A tutorial on current practices & open challenges |
2016 |
VLDB |
2 |
5.7432938e-05 |
| 7,084 |
IoT-Detective: Analyzing IoT Data Under Differential Privacy |
2018 |
SIGMOD |
3 |
5.5888034e-05 |
| 7,315 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4 |
5.5415931e-05 |
| 7,524 |
Pythia: Data Dependent Differentially Private Algorithm Selection |
2017 |
SIGMOD |
5 |
5.4868995e-05 |
| 8,117 |
PSynDB: Accurate and Accessible Private Data Generation |
2019 |
VLDB |
3 |
5.3739121e-05 |
| 8,617 |
Differentially Private Hierarchical Count-of-Counts Histograms |
2018 |
VLDB |
2 |
5.28722e-05 |
| 13,890 |
DIAS: Differentially Private Interactive Algorithm Selection using Pythia |
2017 |
SIGMOD |
0 |
- |
Frequent Co-authors
Co-authored at least 5 papers.