PSD

Publications

2022

Øyvind Langsrud, Hege Marie Bøvelstad
Synthetic Decimal Numbers as a Flexible Tool for Suppression of Post-published Tabular Data. PSD (2022)
Josep Domingo-Ferrer
Tit-for-Tat Disclosure of a Binding Sequence of User Analyses in Safe Data Access Centers. PSD (2022)
Felix Geyer, Reinhard Tent, Michel Reiffert, Sarah Giessing
Perspectives for Tabular Data Protection - How About Synthetic Data? PSD (2022)
Yulliwas Ameur, Rezak Aziz, Vincent Audigier, Samia Bouzefrane
Secure and Non-interactive k-NN Classifier Using Symmetric Fully Homomorphic Encryption. PSD (2022)
Martin Dunsche, Tim Kutta, Holger Dette
Multivariate Mean Comparison Under Differential Privacy. PSD (2022)
Claire Little, Mark Elliot, Richard Allmendinger
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. PSD (2022)
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)
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)
Alberto Blanco-Justicia, Najeeb Moharram Jebreel, Jesús A. Manjón, Josep Domingo-Ferrer
Generation of Synthetic Trajectory Microdata from Language Models. PSD (2022)
Ala Eddine Laouir, Abdessamad Imine
On Privacy of Multidimensional Data Against Aggregate Knowledge Attacks. PSD (2022)
Ben Derrick, Elizabeth Green, Felix Ritchie, Paul White
The Risk of Disclosure When Reporting Commonly Used Univariate Statistics. PSD (2022)
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)
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)
Oualid Zari, Javier Parra-Arnau, Ayse Ünsal, Thorsten Strufe, Melek Önen
Membership Inference Attack Against Principal Component Analysis. PSD (2022)
Ana I. Miranda, Marta Mas, Marina Ayestaran
Privacy in Practice: Latest Achievements of the Eustat SDC Group. PSD (2022)
Manel Slokom, Peter-Paul de Wolf, Martha A. Larson
When Machine Learning Models Leak: An Exploration of Synthetic Training Data. PSD (2022)
Vicenç Torra
Towards Integrally Private Clustering: Overlapping Clusters for High Privacy Guarantees. PSD (2022)
Paul Francis
A Note on the Misinterpretation of the US Census Re-identification Attack. PSD (2022)
Jordi Castro, Claudio Gentile, Enric Spagnolo-Arrizabalaga
An Optimization-Based Decomposition Heuristic for the Microaggregation Problem. PSD (2022)
Tomer Shoham, Yosef Rinott
Asking the Proper Question: Adjusting Queries to Statistical Procedures Under Differential Privacy. PSD (2022)
Siva Anantharaman, Sabine Frittella, Benjamin Nguyen
Privacy Analysis with a Distributed Transition System and a Data-Wise Metric. PSD (2022)
Jörg Drechsler
Challenges in Measuring Utility for Fully Synthetic Data. PSD (2022)
Gillian M. Raab
Utility and Disclosure Risk for Differentially Private Synthetic Categorical Data. PSD (2022)
Benet Manzanares-Salor, David Sánchez, Pierre Lison
Automatic Evaluation of Disclosure Risks of Text Anonymization Methods. PSD (2022)
Krishnamurty Muralidhar
A Re-examination of the Census Bureau Reconstruction and Reidentification Attack. PSD (2022)

volume 13463, 2022

Privacy in Statistical Databases - International Conference, PSD 2022, Paris, France, September 21-23, 2022, Proceedings PSD 13463 (2022)

2020

volume 12276, 2020

Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020, Proceedings PSD 12276 (2020)