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ORCIDPSD 2024: Antibes Juan-les-Pins, France
- Josep Domingo-Ferrer
, Melek Önen:
Privacy in Statistical Databases - International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25-27, 2024, Proceedings. Lecture Notes in Computer Science 14915, Springer 2024, ISBN 978-3-031-69650-3
Privacy Models and Concepts
- Giuseppe D'Acquisto, Aloni Cohen, Maurizio Naldi, Kobbi Nissim:
From Isolation to Identification. 3-17 - Tran Tran, Matthew Reimherr, Aleksandra B. Slavkovic:
Differentially Private Quantile Regression. 18-34 - Takumi Sugiyama, Hiroto Oosugi, Io Yamanaka, Kazuhiro Minami:
Utility Analysis of Differentially Private Anonymized Data Based on Random Sampling. 35-47
Microdata Protection
- Katariina Perkonoja, Joni Virta:
Asymptotic Utility of Spectral Anonymization. 51-66 - James Thomas Brown, Ellen Wright Clayton, Michael E. Matheny, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
Robin Hood: A De-identification Method to Preserve Minority Representation for Disparities Research. 67-83
Statistical Table Protection
- Øyvind Langsrud:
Secondary Cell Suppression by Gaussian Elimination: An Algorithm Suitable for Handling Issues with Zeros and Singletons. 87-101 - James Jackson, Robin Mitra, Brian Francis, Iain Dove:
Obtaining (ε ,δ )-Differential Privacy Guarantees When Using a Poisson Mechanism to Synthesize Contingency Tables. 102-112
Synthetic Data Generation Methods
- Jonathan Latner, Marcel Neunhoeffer, Jörg Drechsler:
Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator. 115-128 - Anna Oganian, Jörg Drechsler, Mehtab Iqbal:
Evaluating the Pseudo Likelihood Approach for Synthesizing Surveys Under Informative Sampling. 129-143 - Mark J. Elliot, Claire Little, Richard Allmendinger:
The Production of Bespoke Synthetic Teaching Datasets Without Access to the Original Data. 144-157
Synthetic Data Generation Software
- Paul Francis:
A Comparison of SynDiffix Multi-table Versus Single-table Synthetic Data. 161-177 - Emma Fössing, Jörg Drechsler:
An Evaluation of Synthetic Data Generators Implemented in the Python Library Synthcity. 178-193 - Oscar Thees, Jirí Novák, Matthias Templ:
Evaluation of Synthetic Data Generators on Complex Tabular Data. 194-209
Disclosure Risk Assessment
- David Sánchez, Najeeb Jebreel, Krishnamurty Muralidhar, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. 213-224 - Simon Xi Ning Kolb, Jui Andreas Tang, Sarah Giessing:
Synthetic Data: Comparing Utility and Risk in Microdata and Tables. 225-239 - Carolina Trindade, Luis Antunes, Tânia Carvalho, Nuno Moniz:
Synthetic Data Outliers: Navigating Identity Disclosure. 240-253 - Gillian M. Raab:
Privacy Risk from Synthetic Data: Practical Proposals. 254-273 - Guillermo Navarro-Arribas, Vicenç Torra:
Attribute Disclosure Risk in Smart Meter Data. 274-283 - Elizabeth Green, Felix Ritche, Paul White:
The statbarn: A New Model for Output Statistical Disclosure Control. 284-293
Spatial and Georeferenced Data
- Simon Cremer, Lydia Jehmlich, Rainer Lenz:
Masking Georeferenced Health Data - An Analysis Taking the Example of Partially Synthetic Data on Sleep Disorder. 297-309 - Hanna Brenzel, Martin Palm, Jan Weymeirsch, Ralf T. Münnich:
Privacy and Disclosure Risks in Spatial Dynamic Microsimulations. 310-326
Machine Learning and Privacy
- Ryotaro Toma, Hiroaki Kikuchi:
Combinations of AI Models and XAI Metrics Vulnerable to Record Reconstruction Risk. 329-343 - Saloni Kwatra, Vicenç Torra:
DISCOLEAF: Personalized DIScretization of COntinuous Attributes for LEArning with Federated Decision Trees. 344-357 - Oualid Zari, Javier Parra-Arnau, Ayse Ünsal, Melek Önen:
Node Injection Link Stealing Attack. 358-373 - Marko Miletic, Murat Sariyar:
Assessing the Potentials of LLMs and GANs as State-of-the-Art Tabular Synthetic Data Generation Methods. 374-389
Case Studies
- Krishnamurty Muralidhar, Steven Ruggles:
Escalation of Commitment: A Case Study of the United States Census Bureau Efforts to Implement Differential Privacy for the 2020 Decennial Census. 393-402 - Manel Slokom, Shruti Agrawal, Nynke C. Krol, Peter-Paul de Wolf:
Relational Or Single: A Comparative Analysis of Data Synthesis Approaches for Privacy and Utility on a Use Case from Statistical Office. 403-419 - Mohamed Aghaddar, Liu Nuo Su, Manel Slokom, Lucas Barnhoorn, Peter-Paul de Wolf:
A Case Study Exploring Data Synthesis Strategies on Tabular vs. Aggregated Data Sources for Official Statistics. 420-435
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