Abstract is missing.
- An Optimization-Based Decomposition Heuristic for the Microaggregation ProblemJordi Castro, Claudio Gentile, Enric Spagnolo-Arrizabalaga. 3-14 [doi]
- Privacy Analysis with a Distributed Transition System and a Data-Wise MetricSiva Anantharaman, Sabine Frittella, Benjamin Nguyen. 15-30 [doi]
- Multivariate Mean Comparison Under Differential PrivacyMartin Dunsche, Tim Kutta, Holger Dette. 31-45 [doi]
- Asking the Proper Question: Adjusting Queries to Statistical Procedures Under Differential PrivacyTomer Shoham, Yosef Rinott. 46-61 [doi]
- Towards Integrally Private Clustering: Overlapping Clusters for High Privacy GuaranteesVicenç Torra. 62-73 [doi]
- Perspectives for Tabular Data Protection - How About Synthetic Data?Felix Geyer, Reinhard Tent, Michel Reiffert, Sarah Giessing. 77-91 [doi]
- On Privacy of Multidimensional Data Against Aggregate Knowledge AttacksAla Eddine Laouir, Abdessamad Imine. 92-104 [doi]
- Synthetic Decimal Numbers as a Flexible Tool for Suppression of Post-published Tabular DataØyvind Langsrud, Hege Marie Bøvelstad. 105-115 [doi]
- The Risk of Disclosure When Reporting Commonly Used Univariate StatisticsBen Derrick, Elizabeth Green, Felix Ritchie, Paul White. 119-129 [doi]
- Tit-for-Tat Disclosure of a Binding Sequence of User Analyses in Safe Data Access CentersJosep Domingo-Ferrer. 133-141 [doi]
- Secure and Non-interactive k-NN Classifier Using Symmetric Fully Homomorphic EncryptionYulliwas Ameur, Rezak Aziz, Vincent Audigier, Samia Bouzefrane 0001. 142-154 [doi]
- Automatic Evaluation of Disclosure Risks of Text Anonymization MethodsBenet Manzanares-Salor, David Sánchez 0001, Pierre Lison. 157-171 [doi]
- Generation of Synthetic Trajectory Microdata from Language ModelsAlberto Blanco-Justicia, Najeeb Moharram Jebreel, Jesús A. Manjón, Josep Domingo-Ferrer. 172-187 [doi]
- Synthetic Individual Income Tax Data: Methodology, Utility, and Privacy ImplicationsClaire 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. 191-204 [doi]
- On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis ApproachJames Jackson, Robin Mitra, Brian Francis, Iain Dove. 205-219 [doi]
- Challenges in Measuring Utility for Fully Synthetic DataJörg Drechsler. 220-233 [doi]
- Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of MicrodataClaire Little, Mark Elliot, Richard Allmendinger 0001. 234-249 [doi]
- Utility and Disclosure Risk for Differentially Private Synthetic Categorical DataGillian M. Raab. 250-265 [doi]
- Membership Inference Attack Against Principal Component AnalysisOualid Zari, Javier Parra-Arnau, Ayse Ünsal, Thorsten Strufe, Melek Önen. 269-282 [doi]
- When Machine Learning Models Leak: An Exploration of Synthetic Training DataManel Slokom, Peter-Paul de Wolf, Martha A. Larson. 283-296 [doi]
- A Note on the Misinterpretation of the US Census Re-identification AttackPaul Francis. 299-311 [doi]
- A Re-examination of the Census Bureau Reconstruction and Reidentification AttackKrishnamurty Muralidhar. 312-323 [doi]
- Quality Assessment of the 2014 to 2019 National Survey on Drug Use and Health (NSDUH) Public Use FilesNeeraja Sathe, Feng Yu, Lanting Dai, Devon Cribb, Kathryn Spagnola, Ana Saravia, Rong-cai, Jennifer Hoenig. 324-346 [doi]
- Privacy in Practice: Latest Achievements of the Eustat SDC GroupAna I. Miranda, Marta Mas, Marina Ayestaran. 347-360 [doi]
- How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case StudyXinmeng Zhang, Zhiyu Wan, Chao Yan 0004, J. Thomas Brown, Weiyi Xia, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin. 361-374 [doi]