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ORCIDPSD 2014: Ibiza, Spain
- Josep Domingo-Ferrer
:
Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2014, Ibiza, Spain, September 17-19, 2014. Proceedings. Lecture Notes in Computer Science 8744, Springer 2014, ISBN 978-3-319-11256-5
Tabular Data Protection
- Lawrence H. Cox:
Enabling Statistical Analysis of Suppressed Tabular Data. 1-10 - Jordi Castro, José A. González:
Assessing the Information Loss of Controlled Adjustment Methods in Two-Way Tables. 11-23 - María-Salomé Hernández-García, Juan José Salazar González:
Further Developments with Perturbation Techniques to Protect Tabular Data. 24-35 - Johan Bring, Qun Wang:
Comparison of Different Sensitivity Rules for Tabular Data and Presenting a New Rule - The Interval Rule. 36-47 - Sarah Giessing:
Pre-tabular Perturbation with Controlled Tabular Adjustment: Some Considerations. 48-61 - Laszlo Antal, Natalie Shlomo, Mark J. Elliot:
Measuring Disclosure Risk with Entropy in Population Based Frequency Tables. 62-78 - Jordi Castro:
A CTA Model Based on the Huber Function. 79-88
Microdata Masking
- Yan-Xia Lin:
Density Approximant Based on Noise Multiplied Data. 89-104 - Krishnamurty Muralidhar, Rathindra Sarathy, Josep Domingo-Ferrer:
Reverse Mapping to Preserve the Marginal Distributions of Attributes in Masked Microdata. 105-116 - Javier Jiménez, Guillermo Navarro-Arribas, Vicenç Torra:
JPEG-Based Microdata Protection. 117-129
Protection Using Privacy Models
- David Sánchez, Josep Domingo-Ferrer, Sergio Martínez:
Improving the Utility of Differential Privacy via Univariate Microaggregation. 130-142 - Vishesh Karwa, Aleksandra B. Slavkovic, Pavel N. Krivitsky:
Differentially Private Exponential Random Graphs. 143-155 - Olga Gkountouna, Sotiris Angeli, Athanasios Zigomitros, Manolis Terrovitis, Yannis Vassiliou:
k m -Anonymity for Continuous Data Using Dynamic Hierarchies. 156-169 - Fei Yu, Michal Rybár, Caroline Uhler, Stephen E. Fienberg:
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases. 170-184
Synthetic Data
- Jingchen Hu, Jerome P. Reiter, Quanli Wang:
Disclosure Risk Evaluation for Fully Synthetic Categorical Data. 185-199 - Anna Oganian:
v-Dispersed Synthetic Data Based on a Mixture Model with Constraints. 200-212 - Joseph W. Sakshaug, Trivellore E. Raghunathan:
Nonparametric Generation of Synthetic Data for Small Geographic Areas. 213-231 - Javier Miranda, Lars Vilhuber:
Using Partially Synthetic Data to Replace Suppression in the Business Dynamics Statistics: Early Results. 232-242 - Jörg Drechsler, Lars Vilhuber:
Synthetic Longitudinal Business Databases for International Comparisons. 243-252
Record Linkage
- Rebecca C. Steorts, Samuel L. Ventura, Mauricio Sadinle, Stephen E. Fienberg:
A Comparison of Blocking Methods for Record Linkage. 253-268 - Natalie Shlomo:
Probabilistic Record Linkage for Disclosure Risk Assessment. 269-282 - Samuel L. Ventura, Rebecca Nugent, Erica R. H. Fuchs:
Hierarchical Linkage Clustering with Distributions of Distances for Large-Scale Record Linkage. 283-298
Remote Access
- Christine M. O'Keefe, Phillip Gould, Tim Churches:
Comparison of Two Remote Access Systems Recently Developed and Implemented in Australia. 299-311
Privacy-Preserving Protocols
- Emmanouil Magkos, Panayiotis Kotzanikolaou, Marios Magioladitis, Spyros Sioutas, Vassilios S. Verykios:
Towards Secure and Practical Location Privacy through Private Equality Testing. 312-325
Case Studies
- Robert McCaa, Krishnamurty Muralidhar, Rathindra Sarathy, Michael Comerford, Albert Esteve-Palos:
Controlled Shuffling, Statistical Confidentiality and Microdata Utility: A Successful Experiment with a 10% Household Sample of the 2011 Population Census of Ireland for the IPUMS-International Database. 326-337 - Katri Soininvaara, Teemu Oinonen, Annu Nissinen:
Balancing Confidentiality and Usability - Protecting Sensitive Data in the Case of Inward Foreign AffiliaTes Statistics (FATS). 338-349 - Christine M. O'Keefe, Natalie Shlomo:
Applicability of Confidentiality Methods to Personal and Business Data. 350-363
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