- Jörg Drechsler, Benjamin Klein:
Secure Matrix Computation: A Viable Alternative to Record Linkage? PSD 2020: 240-254 - Olga Dziegielewska:
Evaluating Quality of Statistical Disclosure Control Methods - VIOLAS Framework. PSD 2020: 299-308 - Ted Enamorado, Rebecca C. Steorts:
Probabilistic Blocking and Distributed Bayesian Entity Resolution. PSD 2020: 224-239 - Tobias Enderle, Sarah Giessing, Reinhard Tent:
Calculation of Risk Probabilities for the Cell Key Method. PSD 2020: 151-165 - Douwe Hut, Jasper Goseling, Marie-Colette van Lieshout, Peter-Paul de Wolf, Edwin de Jonge:
Statistical Disclosure Control When Publishing on Thematic Maps. PSD 2020: 195-205 - Shinsuke Ito, Takayuki Miura, Hiroto Akatsuka, Masayuki Terada:
Differential Privacy and Its Applicability for Official Statistics in Japan - A Comparative Study Using Small Area Data from the Japanese Population Census. PSD 2020: 337-352 - Najeeb Moharram Jebreel, Rami Haffar, Ashneet Khandpur Singh, David Sánchez, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning. PSD 2020: 309-320 - Satkartar K. Kinney, Charlotte B. Looby, Feng Yu:
Advantages of Imputation vs. Data Swapping for Statistical Disclosure Control. PSD 2020: 281-296 - Goran Lesaja, Ionut Iacob, Anna Oganian:
On Different Formulations of a Continuous CTA Model. PSD 2020: 166-179 - Vaikkunth Mugunthan, Wanyi Xiao, Lalana Kagal:
Utility-Enhancing Flexible Mechanisms for Differential Privacy. PSD 2020: 74-90 - Krishnamurty Muralidhar, Josep Domingo-Ferrer, Sergio Martínez:
ε-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility). PSD 2020: 21-31 - Eyal Nussbaum, Michael Segal:
Privacy Analysis of Query-Set-Size Control. PSD 2020: 183-194 - Anna Oganian, Ionut Iacob, Goran Lesaja:
Multivariate Top-Coding for Statistical Disclosure Limitation. PSD 2020: 136-148 - David Van Riper, Tracy A. Kugler, Steven Ruggles:
Disclosure Avoidance in the Census Bureau's 2010 Demonstration Data Product. PSD 2020: 353-368 - Nicolás Ruiz:
Pα , β-Privacy: A Composable Formulation of Privacy Guarantees for Data Publishing Based on Permutation. PSD 2020: 3-20 - Tanja Sarcevic, David Molnar, Rudolf Mayer:
An Analysis of Different Notions of Effectiveness in k-Anonymity. PSD 2020: 121-135 - Jeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr:
Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data. PSD 2020: 323-336 - Natalie Shlomo:
Integrating Differential Privacy in the Statistical Disclosure Control Tool-Kit for Synthetic Data Production. PSD 2020: 271-280 - David Sidi, Jane Bambauer:
Plausible Deniability. PSD 2020: 91-105 - Jiurui Tang, Jerome P. Reiter, Rebecca C. Steorts:
Bayesian Modeling for Simultaneous Regression and Record Linkage. PSD 2020: 209-223 - Vicenç Torra, Guillermo Navarro-Arribas, Edgar Galván:
Explaining Recurrent Machine Learning Models: Integral Privacy Revisited. PSD 2020: 62-73 - Josep Domingo-Ferrer, Krishnamurty Muralidhar:
Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020, Proceedings. Lecture Notes in Computer Science 12276, Springer 2020, ISBN 978-3-030-57520-5 [contents] - 2018
- Daniel Baena, Jordi Castro, José A. González:
Symmetric vs Asymmetric Protection Levels in SDC Methods for Tabular Data. PSD 2018: 3-12 - Yingrui Chen, Mark J. Elliot, Duncan Smith:
The Application of Genetic Algorithms to Data Synthesis: A Comparison of Three Crossover Methods. PSD 2018: 160-171 - Josep Domingo-Ferrer, Rafael Mulero-Vellido, Jordi Soria-Comas:
Multiparty Computation with Statistical Input Confidentiality via Randomized Response. PSD 2018: 175-186 - Iain Dove, Christos Ntoumos, Keith Spicer:
Protecting Census 2021 Origin-Destination Data Using a Combination of Cell-Key Perturbation and Suppression. PSD 2018: 43-55 - Jörg Drechsler:
Some Clarifications Regarding Fully Synthetic Data. PSD 2018: 109-121 - Tobias Enderle, Sarah Giessing, Reinhard Tent:
Designing Confidentiality on the Fly Methodology - Three Aspects. PSD 2018: 28-42 - Jingchen Hu, Nobuaki Hoshino:
The Quasi-Multinomial Synthesizer for Categorical Data. PSD 2018: 75-91 - Shinsuke Ito, Toru Yoshitake, Ryo Kikuchi, Fumika Akutsu:
Comparative Study of the Effectiveness of Perturbative Methods for Creating Official Microdata in Japan. PSD 2018: 200-214