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PSD 2018: Valencia, Spain
- Josep Domingo-Ferrer, Francisco Montes:
Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2018, Valencia, Spain, September 26-28, 2018, Proceedings. Lecture Notes in Computer Science 11126, Springer 2018, ISBN 978-3-319-99770-4
Tabular Data Protection
- Daniel Baena, Jordi Castro, José A. González:
Symmetric vs Asymmetric Protection Levels in SDC Methods for Tabular Data. 3-12 - Min-Jeong Park:
Bounded Small Cell Adjustments for Flexible Frequency Table Generators. 13-27 - Tobias Enderle, Sarah Giessing, Reinhard Tent:
Designing Confidentiality on the Fly Methodology - Three Aspects. 28-42 - Iain Dove, Christos Ntoumos, Keith Spicer:
Protecting Census 2021 Origin-Destination Data Using a Combination of Cell-Key Perturbation and Suppression. 43-55
Synthetic Data
- Nicolás Ruiz, Krishnamurty Muralidhar, Josep Domingo-Ferrer:
On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective. 59-74 - Jingchen Hu, Nobuaki Hoshino:
The Quasi-Multinomial Synthesizer for Categorical Data. 75-91 - Michelle Pistner, Aleksandra B. Slavkovic, Lars Vilhuber:
Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data. 92-108 - Jörg Drechsler:
Some Clarifications Regarding Fully Synthetic Data. 109-121 - Jennifer Taub, Mark J. Elliot, Maria Pampaka, Duncan Smith:
Differential Correct Attribution Probability for Synthetic Data: An Exploration. 122-137 - Joshua Snoke, Aleksandra B. Slavkovic:
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity. 138-159 - Yingrui Chen, Mark J. Elliot, Duncan Smith:
The Application of Genetic Algorithms to Data Synthesis: A Comparison of Three Crossover Methods. 160-171
Microdata and Big Data Masking
- Josep Domingo-Ferrer, Rafael Mulero-Vellido, Jordi Soria-Comas:
Multiparty Computation with Statistical Input Confidentiality via Randomized Response. 175-186 - Anna Oganian, Ionut Iacob, Goran Lesaja:
Grouping of Variables to Facilitate SDL Methods in Multivariate Data Sets. 187-199 - Shinsuke Ito, Toru Yoshitake, Ryo Kikuchi, Fumika Akutsu:
Comparative Study of the Effectiveness of Perturbative Methods for Creating Official Microdata in Japan. 200-214 - Nicolás Ruiz:
A General Framework and Metrics for Longitudinal Data Anonymization. 215-230 - Yan-Xia Lin, Pavel N. Krivitsky:
Reviewing the Methods of Estimating the Density Function Based on Masked Data. 231-246 - Yan-Xia Lin:
Protecting Values Close to Zero Under the Multiplicative Noise Method. 247-262 - Bradley Wakefield, Yan-Xia Lin:
Efficiency and Sample Size Determination of Protected Data. 263-278 - Yue Ma, Yan-Xia Lin, Pavel N. Krivitsky, Bradley Wakefield:
Quantifying the Protection Level of a Noise Candidate for Noise Multiplication Masking Scheme. 279-293
Record Linkage
- Rebecca C. Steorts, Andrea Tancredi, Brunero Liseo:
Generalized Bayesian Record Linkage and Regression with Exact Error Propagation. 297-313 - Rebecca C. Steorts, Anshumali Shrivastava:
Probabilistic Blocking with an Application to the Syrian Conflict. 314-327
Spatial and Mobility Data
- Julián Salas, David Megías, Vicenç Torra:
SwapMob: Swapping Trajectories for Mobility Anonymization. 331-346 - Peter-Paul de Wolf, Edwin de Jonge:
Safely Plotting Continuous Variables on a Map. 347-359
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