| 2024 | Robin Hood: A De-identification Method to Preserve Minority Representation for Disparities Research. | James Thomas Brown, Ellen Wright Clayton, Michael E. Matheny, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin |
| 2024 | Privacy and Disclosure Risks in Spatial Dynamic Microsimulations. | Hanna Brenzel, Martin Palm, Jan Weymeirsch, Ralf T. Mnnich |
| 2024 | A Case Study Exploring Data Synthesis Strategies on Tabular vs. Aggregated Data Sources for Official Statistics. | Mohamed Aghaddar, Liu Nuo Su, Manel Slokom, Lucas Barnhoorn, Peter-Paul de Wolf |
| 2022 | How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study. | Xinmeng Zhang, Zhiyu Wan, Chao Yan, J. Thomas Brown, Weiyi Xia, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin |
| 2022 | Membership Inference Attack Against Principal Component Analysis. | Oualid Zari, Javier Parra-Arnau, Ayse nsal, Thorsten Strufe, Melek nen |
| 2022 | Towards Integrally Private Clustering: Overlapping Clusters for High Privacy Guarantees. | Vicen Torra |
| 2022 | When Machine Learning Models Leak: An Exploration of Synthetic Training Data. | Manel Slokom, Peter-Paul de Wolf, Martha A. Larson |
| 2022 | Asking the Proper Question: Adjusting Queries to Statistical Procedures Under Differential Privacy. | Tomer Shoham, Yosef Rinott |
| 2022 | Quality Assessment of the 2014 to 2019 National Survey on Drug Use and Health (NSDUH) Public Use Files. | Neeraja Sathe, Feng Yu, Lanting Dai, Devon Cribb, Kathryn Spagnola, Ana Saravia, Rong Cai, Jennifer Hoenig |
| 2022 | Utility and Disclosure Risk for Differentially Private Synthetic Categorical Data. | Gillian M. Raab |
| 2022 | A Re-examination of the Census Bureau Reconstruction and Reidentification Attack. | Krishnamurty Muralidhar |
| 2022 | Privacy in Practice: Latest Achievements of the Eustat SDC Group. | Ana I. Miranda, Marta Mas, Marina Ayestaran |
| 2022 | Automatic Evaluation of Disclosure Risks of Text Anonymization Methods. | Benet Manzanares-Salor, David Snchez, Pierre Lison |
| 2022 | Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. | Claire Little, Mark J. Elliot, Richard Allmendinger |
| 2022 | On Privacy of Multidimensional Data Against Aggregate Knowledge Attacks. | Ala Eddine Laouir, Abdessamad Imine |
| 2022 | Synthetic Decimal Numbers as a Flexible Tool for Suppression of Post-published Tabular Data. | yvind Langsrud, Hege Marie Bvelstad |
| 2022 | On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach. | James Jackson, Robin Mitra, Brian Francis, Iain Dove |
| 2022 | Perspectives for Tabular Data Protection - How About Synthetic Data? | Felix Geyer, Reinhard Tent, Michel Reiffert, Sarah Giessing |
| 2022 | A Note on the Misinterpretation of the US Census Re-identification Attack. | Paul Francis |
| 2022 | Multivariate Mean Comparison Under Differential Privacy. | Martin Dunsche, Tim Kutta, Holger Dette |
| 2022 | Challenges in Measuring Utility for Fully Synthetic Data. | Jrg Drechsler |
| 2022 | Tit-for-Tat Disclosure of a Binding Sequence of User Analyses in Safe Data Access Centers. | Josep Domingo-Ferrer |
| 2022 | The Risk of Disclosure When Reporting Commonly Used Univariate Statistics. | Ben Derrick, Elizabeth Green, Felix Ritchie, Paul White |
| 2022 | An Optimization-Based Decomposition Heuristic for the Microaggregation Problem. | Jordi Castro, Claudio Gentile, Enric Spagnolo-Arrizabalaga |
| 2022 | Synthetic Individual Income Tax Data: Methodology, Utility, and Privacy Implications. | Claire McKay Bowen, Victoria Bryant, Leonard Burman, John Czajka, Surachai Khitatrakun, Graham MacDonald, Robert McClelland, Livia Mucciolo, Madeline Pickens, Kyle Ueyama, Aaron R. Williams, Doug Wissoker, Noah Zwiefel |