- Siva Anantharaman, Sabine Frittella
, Benjamin Nguyen:
Privacy Analysis with a Distributed Transition System and a Data-Wise Metric. PSD 2022: 15-30 - Alberto Blanco-Justicia, Najeeb Moharram Jebreel, Jesús A. Manjón, Josep Domingo-Ferrer:
Generation of Synthetic Trajectory Microdata from Language Models. PSD 2022: 172-187 - 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:
Synthetic Individual Income Tax Data: Methodology, Utility, and Privacy Implications. PSD 2022: 191-204 - Jordi Castro, Claudio Gentile, Enric Spagnolo-Arrizabalaga:
An Optimization-Based Decomposition Heuristic for the Microaggregation Problem. PSD 2022: 3-14 - Ben Derrick, Elizabeth Green, Felix Ritchie, Paul White:
The Risk of Disclosure When Reporting Commonly Used Univariate Statistics. PSD 2022: 119-129 - Josep Domingo-Ferrer:
Tit-for-Tat Disclosure of a Binding Sequence of User Analyses in Safe Data Access Centers. PSD 2022: 133-141 - Jörg Drechsler:
Challenges in Measuring Utility for Fully Synthetic Data. PSD 2022: 220-233 - Martin Dunsche, Tim Kutta, Holger Dette:
Multivariate Mean Comparison Under Differential Privacy. PSD 2022: 31-45 - Paul Francis:
A Note on the Misinterpretation of the US Census Re-identification Attack. PSD 2022: 299-311 - Felix Geyer, Reinhard Tent, Michel Reiffert, Sarah Giessing:
Perspectives for Tabular Data Protection - How About Synthetic Data? PSD 2022: 77-91 - James Jackson, Robin Mitra, Brian Francis, Iain Dove:
On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach. PSD 2022: 205-219 - Øyvind Langsrud, Hege Marie Bøvelstad:
Synthetic Decimal Numbers as a Flexible Tool for Suppression of Post-published Tabular Data. PSD 2022: 105-115 - Ala Eddine Laouir, Abdessamad Imine:
On Privacy of Multidimensional Data Against Aggregate Knowledge Attacks. PSD 2022: 92-104 - Claire Little, Mark J. Elliot, Richard Allmendinger:
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. PSD 2022: 234-249 - Benet Manzanares-Salor, David Sánchez, Pierre Lison:
Automatic Evaluation of Disclosure Risks of Text Anonymization Methods. PSD 2022: 157-171 - Ana I. Miranda, Marta Mas, Marina Ayestaran:
Privacy in Practice: Latest Achievements of the Eustat SDC Group. PSD 2022: 347-360 - Krishnamurty Muralidhar:
A Re-examination of the Census Bureau Reconstruction and Reidentification Attack. PSD 2022: 312-323 - Gillian M. Raab:
Utility and Disclosure Risk for Differentially Private Synthetic Categorical Data. PSD 2022: 250-265 - Neeraja Sathe, Feng Yu, Lanting Dai, Devon Cribb, Kathryn Spagnola, Ana Saravia, Rong Cai, Jennifer Hoenig:
Quality Assessment of the 2014 to 2019 National Survey on Drug Use and Health (NSDUH) Public Use Files. PSD 2022: 324-346 - Tomer Shoham, Yosef Rinott:
Asking the Proper Question: Adjusting Queries to Statistical Procedures Under Differential Privacy. PSD 2022: 46-61 - Manel Slokom, Peter-Paul de Wolf, Martha A. Larson:
When Machine Learning Models Leak: An Exploration of Synthetic Training Data. PSD 2022: 283-296 - Vicenç Torra:
Towards Integrally Private Clustering: Overlapping Clusters for High Privacy Guarantees. PSD 2022: 62-73 - Oualid Zari, Javier Parra-Arnau, Ayse Ünsal, Thorsten Strufe, Melek Önen:
Membership Inference Attack Against Principal Component Analysis. PSD 2022: 269-282 - Xinmeng Zhang, Zhiyu Wan, Chao Yan, J. Thomas Brown, Weiyi Xia, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin:
How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study. PSD 2022: 361-374 - Josep Domingo-Ferrer, Maryline Laurent:
Privacy in Statistical Databases - International Conference, PSD 2022, Paris, France, September 21-23, 2022, Proceedings. Lecture Notes in Computer Science 13463, Springer 2022, ISBN 978-3-031-13944-4 [contents] - 2020
- Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto:
A Bayesian Nonparametric Approach to Differentially Private Data. PSD 2020: 32-48 - Claire McKay Bowen, Victoria Bryant, Leonard Burman, Surachai Khitatrakun, Robert McClelland, Philip Stallworth, Kyle Ueyama, Aaron R. Williams:
A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy Implications. PSD 2020: 257-270 - Anne-Sophie Charest, Leila Nombo:
Analysis of Differentially-Private Microdata Using SIMEX. PSD 2020: 109-120 - Chris Clifton, Eric J. Hanson, Keith Merrill, Shawn Merrill, Amjad Zahraa:
A Partitioned Recoding Scheme for Privacy Preserving Data Publishing. PSD 2020: 49-61 - Jörg Drechsler, Benjamin Klein:
Secure Matrix Computation: A Viable Alternative to Record Linkage? PSD 2020: 240-254
