| 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 |
| 2024 | A Comparison of SynDiffix Multi-table Versus Single-table Synthetic Data. Paul Francis |
| 2024 | An Evaluation of Synthetic Data Generators Implemented in the Python Library Synthcity. Emma Fössing, Jörg Drechsler |
| 2024 | An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. David Sánchez, Najeeb Jebreel, Krishnamurty Muralidhar, Josep Domingo-Ferrer, Alberto Blanco-Justicia |
| 2024 | Assessing the Potentials of LLMs and GANs as State-of-the-Art Tabular Synthetic Data Generation Methods. Marko Miletic, Murat Sariyar |
| 2024 | Asymptotic Utility of Spectral Anonymization. Katariina Perkonoja, Joni Virta |
| 2024 | Attribute Disclosure Risk in Smart Meter Data. Guillermo Navarro-Arribas, Vicenç Torra |
| 2024 | Combinations of AI Models and XAI Metrics Vulnerable to Record Reconstruction Risk. Ryotaro Toma, Hiroaki Kikuchi |
| 2024 | DISCOLEAF: Personalized DIScretization of COntinuous Attributes for LEArning with Federated Decision Trees. Saloni Kwatra, Vicenç Torra |
| 2024 | Differentially Private Quantile Regression. Tran Tran, Matthew Reimherr, Aleksandra B. Slavkovic |
| 2024 | Escalation of Commitment: A Case Study of the United States Census Bureau Efforts to Implement Differential Privacy for the 2020 Decennial Census. Krishnamurty Muralidhar, Steven Ruggles |
| 2024 | Evaluating the Pseudo Likelihood Approach for Synthesizing Surveys Under Informative Sampling. Anna Oganian, Jörg Drechsler, Mehtab Iqbal |
| 2024 | Evaluation of Synthetic Data Generators on Complex Tabular Data. Oscar Thees, Jirí Novák, Matthias Templ |
| 2024 | From Isolation to Identification. Giuseppe D'Acquisto, Aloni Cohen, Maurizio Naldi, Kobbi Nissim |
| 2024 | Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator. Jonathan Latner, Marcel Neunhoeffer, Jörg Drechsler |
| 2024 | Masking Georeferenced Health Data - An Analysis Taking the Example of Partially Synthetic Data on Sleep Disorder. Simon Cremer, Lydia Jehmlich, Rainer Lenz |
| 2024 | Node Injection Link Stealing Attack. Oualid Zari, Javier Parra-Arnau, Ayse Ünsal, Melek Önen |
| 2024 | Obtaining (ε ,δ )-Differential Privacy Guarantees When Using a Poisson Mechanism to Synthesize Contingency Tables. James Jackson, Robin Mitra, Brian Francis, Iain Dove |
| 2024 | Privacy Risk from Synthetic Data: Practical Proposals. Gillian M. Raab |
| 2024 | Privacy and Disclosure Risks in Spatial Dynamic Microsimulations. Hanna Brenzel, Martin Palm, Jan Weymeirsch, Ralf T. Münnich |
| 2024 | Privacy in Statistical Databases - International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25-27, 2024, Proceedings Josep Domingo-Ferrer, Melek Önen |
| 2024 | Relational Or Single: A Comparative Analysis of Data Synthesis Approaches for Privacy and Utility on a Use Case from Statistical Office. Manel Slokom, Shruti Agrawal, Nynke C. Krol, Peter-Paul de Wolf |
| 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 | Secondary Cell Suppression by Gaussian Elimination: An Algorithm Suitable for Handling Issues with Zeros and Singletons. Øyvind Langsrud |
| 2024 | Synthetic Data Outliers: Navigating Identity Disclosure. Carolina Trindade, Luis Antunes, Tânia Carvalho, Nuno Moniz |
| 2024 | Synthetic Data: Comparing Utility and Risk in Microdata and Tables. Simon Xi Ning Kolb, Jui Andreas Tang, Sarah Giessing |
| 2024 | The Production of Bespoke Synthetic Teaching Datasets Without Access to the Original Data. Mark J. Elliot, Claire Little, Richard Allmendinger |
| 2024 | The statbarn: A New Model for Output Statistical Disclosure Control. Elizabeth Green, Felix Ritchie, Paul White |
| 2024 | Utility Analysis of Differentially Private Anonymized Data Based on Random Sampling. Takumi Sugiyama, Hiroto Oosugi, Io Yamanaka, Kazuhiro Minami |