| 2018 | KDD | The U.S. Census Bureau Adopts Differential Privacy. | John M. Abowd |
| 2017 | SIGMOD | Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics. | Samuel Haney, Ashwin Machanavajjhala, John M. Abowd, Matthew Graham, Mark Kutzbach, Lars Vilhuber |
| 2012 | PSD | A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs. | John M. Abowd, Lars Vilhuber, William C. Block |
| 2011 | ICDM | An Application of Differentially Private Linear Mixed Modeling. | John M. Abowd, Matthew J. Schneider |
| 2008 | ICDE | Privacy: Theory meets Practice on the Map. | Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke, Lars Vilhuber |
| 2008 | PSD | How Protective Are Synthetic Data?. | John M. Abowd, Lars Vilhuber |
| 2006 | PSD | Using Mahalanobis Distance-Based Record Linkage for Disclosure Risk Assessment. | Vicen Torra, John M. Abowd, Josep Domingo-Ferrer |
| 2004 | PSD | New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers. | John M. Abowd, Julia Lane |
| 2004 | PSD | Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data. | John M. Abowd, Simon D. Woodcock |