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Privacy in Statistical Databases
other
Editor(s):
Josep Domingo-Ferrer
,
Ilenia Tinnirello
Publication date
(Print):
2012
Publisher:
Springer Berlin Heidelberg
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Book
ISBN (Print):
978-3-642-33626-3
ISBN (Electronic):
978-3-642-33627-0
Publication date (Print):
2012
DOI:
10.1007/978-3-642-33627-0
SO-VID:
802b693e-f7a0-482b-9354-fdada8e5054a
License:
http://www.springer.com/tdm
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Book chapters
pp. 1
p% Should Dominate
pp. 11
A Computational Evaluation of Optimization Solvers for CTA
pp. 22
Flexible Rounding Based on Consistent Post-tabular Stochastic Noise
pp. 35
Comparing L 1 and L 2 Distances for CTA
pp. 47
An Investigation of Model-Based Microdata Masking for Magnitude Tabular Data Release
pp. 63
Testing of IHSN C++ Code and Inclusion of New Methods into sdcMicro
pp. 78
Clustering-Based Categorical Data Protection
pp. 90
Anonymization Methods for Taxonomic Microdata
pp. 103
Hybrid Microdata via Model-Based Clustering
pp. 116
Logistic Regression with Variables Subject to Post Randomization Method
pp. 131
Valid Statistical Inference on Automatically Matched Files
pp. 143
n-Cycle Swapping for the American Community Survey
pp. 165
Generating Useful Test Data for Complex Linked Employer-Employee Datasets
pp. 179
When Excessive Perturbation Goes Wrong and Why IPUMS-International Relies Instead on Sampling, Suppression, Swapping, and Other Minimally Harmful Methods to Protect Privacy of Census Microdata
pp. 188
Achieving Comparability of Earnings
pp. 200
Designing Multiple Releases from the Small and Medium Enterprises Survey
pp. 216
A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs
pp. 226
Confidentialising Maps of Mixed Point and Diffuse Spatial Data
pp. 241
Security of Random Output Perturbation for Statistical Databases
pp. 257
Empirical Evaluation of Statistical Inference from Differentially-Private Contingency Tables
pp. 286
European Data Access Comes True
pp. 295
A Bayesian Approach for On-Line Sum/Count/Max/Min Auditing on Boolean Data
pp. 308
Document Sanitization: Measuring Search Engine Information Loss and Risk of Disclosure for the Wikileaks cables
pp. 322
Enhancing the Efficiency in Privacy Preserving Learning of Decision Trees in Partitioned Databases
pp. 336
On Computational Anonymity
pp. 348
”Better Than Nothing” Privacy with Bloom Filters: To What Extent?
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The Effect of Data Swapping on Analyses of American Community Survey Data
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