| 2020 | CCS | TPDP'20: 6th Workshop on Theory and Practice of Differential Privacy. | Rachel Cummings, Michael Hay |
| 2019 | CIDR | Architecting a Differentially Private SQL Engine. | Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay |
| 2018 | SIGMOD | IoT-Detective: Analyzing IoT Data Under Differential Privacy. | Sameera Ghayyur, Yan Chen, Roberto Yus, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau, Sharad Mehrotra |
| 2018 | SIGMOD | EKTELO: A Framework for Defining Differentially-Private Computations. | Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau |
| 2017 | CCS | PeGaSus: Data-Adaptive Differentially Private Stream Processing. | Yan Chen, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau |
| 2017 | ICML | Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models. | Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau |
| 2017 | SIGMOD | DIAS: Differentially Private Interactive Algorithm Selection using Pythia. | Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr |
| 2017 | SIGMOD | Pythia: Data Dependent Differentially Private Algorithm Selection. | Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau |
| 2017 | SIGMOD | Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges. | Ashwin Machanavajjhala, Xi He, Michael Hay |
| 2017 | SDM | Differentially Private Rank Aggregation. | Michael Hay, Liudmila Elagina, Gerome Miklau |
| 2016 | SIGMOD | Principled Evaluation of Differentially Private Algorithms using DPBench. | Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang |
| 2016 | SIGMOD | Exploring Privacy-Accuracy Tradeoffs using DPComp. | Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang, George Bissias |
| 2013 | IWCMC | Network Coding and Quality of Service metrics for Mobile Ad-hoc Networks. | Michael Hay, Basil Saeed, Chung-Horng Lung, Thomas Kunz, Anand Srinivasan |
| 2013 | SIGCSE | How PhD students at research universities can prepare for a career at a liberal arts college (abstract only). | Ann Irvine, Darakhshan Mir, Michael Hay |
| 2012 | CRYPTO | Crowd-Blending Privacy. | Johannes Gehrke, Michael Hay, Edward Lui, Rafael Pass |
| 2011 | SIGMOD | Privacy-aware data management in information networks. | Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, Evimaria Terzi |
| 2011 | SIGMOD | iReduct: differential privacy with reduced relative errors. | Xiaokui Xiao, Gabriel Bender, Michael Hay, Johannes Gehrke |
| 2010 | PODS | Optimizing linear counting queries under differential privacy. | Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor |
| 2010 | PST | Co-located Physical-Layer Network Coding to mitigate passive eavesdropping. | Michael Hay, Basil Saeed, Chung-Horng Lung, Anand Srinivasan |
| 2009 | ICDM | Accurate Estimation of the Degree Distribution of Private Networks. | Michael Hay, Chao Li, Gerome Miklau, David D. Jensen |
| 2009 | PODS | Relationship privacy: output perturbation for queries with joins. | Vibhor Rastogi, Michael Hay, Gerome Miklau, Dan Suciu |
| 2004 | UAI | An Integrated, Conditional Model of Information Extraction and Coreference with Appli. | Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay |
| 2003 | ICML | Avoiding Bias when Aggregating Relational Data with Degree Disparity. | David D. Jensen, Jennifer Neville, Michael Hay |
| 2003 | KDD | Learning relational probability trees. | Jennifer Neville, David D. Jensen, Lisa Friedland, Michael Hay |