| 2020 | Analysis of Differentially-Private Microdata Using SIMEX. | Anne-Sophie Charest, Leila Nombo |
| 2020 | A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy Implications. | Claire McKay Bowen, Victoria Bryant, Leonard Burman, Surachai Khitatrakun, Robert McClelland, Philip Stallworth, Kyle Ueyama, Aaron R. Williams |
| 2020 | A Bayesian Nonparametric Approach to Differentially Private Data. | Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto |
| 2018 | Safely Plotting Continuous Variables on a Map. | Peter-Paul de Wolf, Edwin de Jonge |
| 2018 | Efficiency and Sample Size Determination of Protected Data. | Bradley Wakefield, Yan-Xia Lin |
| 2018 | Differential Correct Attribution Probability for Synthetic Data: An Exploration. | Jennifer Taub, Mark J. Elliot, Maria Pampaka, Duncan Smith |
| 2018 | Generalized Bayesian Record Linkage and Regression with Exact Error Propagation. | Rebecca C. Steorts, Andrea Tancredi, Brunero Liseo |
| 2018 | Probabilistic Blocking with an Application to the Syrian Conflict. | Rebecca C. Steorts, Anshumali Shrivastava |
| 2018 | pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity. | Joshua Snoke, Aleksandra B. Slavkovic |
| 2018 | SwapMob: Swapping Trajectories for Mobility Anonymization. | Julin Salas, David Megas, Vicen Torra |
| 2018 | On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective. | Nicols Ruiz, Krishnamurty Muralidhar, Josep Domingo-Ferrer |
| 2018 | A General Framework and Metrics for Longitudinal Data Anonymization. | Nicols Ruiz |
| 2018 | Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data. | Michelle Pistner, Aleksandra B. Slavkovic, Lars Vilhuber |
| 2018 | Bounded Small Cell Adjustments for Flexible Frequency Table Generators. | Min-Jeong Park |
| 2018 | Grouping of Variables to Facilitate SDL Methods in Multivariate Data Sets. | Anna Oganian, Ionut Iacob, Goran Lesaja |
| 2018 | Quantifying the Protection Level of a Noise Candidate for Noise Multiplication Masking Scheme. | Yue Ma, Yan-Xia Lin, Pavel N. Krivitsky, Bradley Wakefield |
| 2018 | Reviewing the Methods of Estimating the Density Function Based on Masked Data. | Yan-Xia Lin, Pavel N. Krivitsky |
| 2018 | Protecting Values Close to Zero Under the Multiplicative Noise Method. | Yan-Xia Lin |
| 2018 | Comparative Study of the Effectiveness of Perturbative Methods for Creating Official Microdata in Japan. | Shinsuke Ito, Toru Yoshitake, Ryo Kikuchi, Fumika Akutsu |
| 2018 | The Quasi-Multinomial Synthesizer for Categorical Data. | Jingchen Hu, Nobuaki Hoshino |
| 2018 | Designing Confidentiality on the Fly Methodology - Three Aspects. | Tobias Enderle, Sarah Giessing, Reinhard Tent |
| 2018 | Some Clarifications Regarding Fully Synthetic Data. | Jrg Drechsler |
| 2018 | Protecting Census 2021 Origin-Destination Data Using a Combination of Cell-Key Perturbation and Suppression. | Iain Dove, Christos Ntoumos, Keith Spicer |
| 2018 | Multiparty Computation with Statistical Input Confidentiality via Randomized Response. | Josep Domingo-Ferrer, Rafael Mulero-Vellido, Jordi Soria-Comas |
| 2018 | The Application of Genetic Algorithms to Data Synthesis: A Comparison of Three Crossover Methods. | Yingrui Chen, Mark J. Elliot, Duncan Smith |