| 2020 | A Bayesian Nonparametric Approach to Differentially Private Data. Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto |
| 2020 | A Partitioned Recoding Scheme for Privacy Preserving Data Publishing. Chris Clifton, Eric J. Hanson, Keith Merrill, Shawn Merrill, Amjad Zahraa |
| 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 | Advantages of Imputation vs. Data Swapping for Statistical Disclosure Control. Satkartar K. Kinney, Charlotte B. Looby, Feng Yu |
| 2020 | An Analysis of Different Notions of Effectiveness in k-Anonymity. Tanja Sarcevic, David Molnar, Rudolf Mayer |
| 2020 | Analysis of Differentially-Private Microdata Using SIMEX. Anne-Sophie Charest, Leila Nombo |
| 2020 | Bayesian Modeling for Simultaneous Regression and Record Linkage. Jiurui Tang, Jerome P. Reiter, Rebecca C. Steorts |
| 2020 | Calculation of Risk Probabilities for the Cell Key Method. Tobias Enderle, Sarah Giessing, Reinhard Tent |
| 2020 | Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning. Najeeb Moharram Jebreel, Rami Haffar, Ashneet Khandpur Singh, David Sánchez, Josep Domingo-Ferrer, Alberto Blanco-Justicia |
| 2020 | Differential Privacy and Its Applicability for Official Statistics in Japan - A Comparative Study Using Small Area Data from the Japanese Population Census. Shinsuke Ito, Takayuki Miura, Hiroto Akatsuka, Masayuki Terada |
| 2020 | Disclosure Avoidance in the Census Bureau's 2010 Demonstration Data Product. David Van Riper, Tracy A. Kugler, Steven Ruggles |
| 2020 | Evaluating Quality of Statistical Disclosure Control Methods - VIOLAS Framework. Olga Dziegielewska |
| 2020 | Explaining Recurrent Machine Learning Models: Integral Privacy Revisited. Vicenç Torra, Guillermo Navarro-Arribas, Edgar Galván |
| 2020 | Integrating Differential Privacy in the Statistical Disclosure Control Tool-Kit for Synthetic Data Production. Natalie Shlomo |
| 2020 | Multivariate Top-Coding for Statistical Disclosure Limitation. Anna Oganian, Ionut Iacob, Goran Lesaja |
| 2020 | On Different Formulations of a Continuous CTA Model. Goran Lesaja, Ionut Iacob, Anna Oganian |
| 2020 | P Nicolás Ruiz |
| 2020 | Plausible Deniability. David Sidi, Jane Bambauer |
| 2020 | Privacy Analysis of Query-Set-Size Control. Eyal Nussbaum, Michael Segal |
| 2020 | Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020, Proceedings Josep Domingo-Ferrer, Krishnamurty Muralidhar |
| 2020 | Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data. Jeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr |
| 2020 | Probabilistic Blocking and Distributed Bayesian Entity Resolution. Ted Enamorado, Rebecca C. Steorts |
| 2020 | Secure Matrix Computation: A Viable Alternative to Record Linkage? Jörg Drechsler, Benjamin Klein |
| 2020 | Statistical Disclosure Control When Publishing on Thematic Maps. Douwe Hut, Jasper Goseling, Marie-Colette van Lieshout, Peter-Paul de Wolf, Edwin de Jonge |
| 2020 | Utility-Enhancing Flexible Mechanisms for Differential Privacy. Vaikkunth Mugunthan, Wanyi Xiao, Lalana Kagal |
| 2020 | ε-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility). Krishnamurty Muralidhar, Josep Domingo-Ferrer, Sergio Martínez |