Privacy in Statistical Databases - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319997704, 9783319997711
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scholarly journals Generalized Bayesian Record Linkage and Regression with Exact Error Propagation

2018 ◽  
pp. 297-313
Author(s):  
Rebecca C. Steorts ◽  
Andrea Tancredi ◽  
Brunero Liseo
Keyword(s):  
Record Linkage ◽  
Error Propagation

Multiparty Computation with Statistical Input Confidentiality via Randomized Response

2018 ◽  
pp. 175-186 ◽  
Author(s):  
Josep Domingo-Ferrer ◽  
Rafael Mulero-Vellido ◽  
Jordi Soria-Comas
Keyword(s):  
Multiparty Computation ◽  
Randomized Response

Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data

2018 ◽  
pp. 92-108
Author(s):  
Michelle Pistner ◽  
Aleksandra Slavković ◽  
Lars Vilhuber
Keyword(s):  
Quantile Regression ◽  
Synthetic Data ◽  
Heavy Tailed

The Quasi-Multinomial Synthesizer for Categorical Data

2018 ◽  
pp. 75-91
Author(s):  
Jingchen Hu ◽  
Nobuaki Hoshino
Keyword(s):  
Categorical Data

Differential Correct Attribution Probability for Synthetic Data: An Exploration

2018 ◽  
pp. 122-137 ◽  
Author(s):  
Jennifer Taub ◽  
Mark Elliot ◽  
Maria Pampaka ◽  
Duncan Smith
Keyword(s):  
Synthetic Data

scholarly journals Symmetric vs Asymmetric Protection Levels in SDC Methods for Tabular Data

2018 ◽  
pp. 3-12
Author(s):  
Daniel Baena ◽  
Jordi Castro ◽  
José A. González
Keyword(s):  
Tabular Data

On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective

2018 ◽  
pp. 59-74 ◽  
Author(s):  
Nicolas Ruiz ◽  
Krishnamurty Muralidhar ◽  
Josep Domingo-Ferrer
Keyword(s):  
Synthetic Data

Comparative Study of the Effectiveness of Perturbative Methods for Creating Official Microdata in Japan

2018 ◽  
pp. 200-214
Author(s):  
Shinsuke Ito ◽  
Toru Yoshitake ◽  
Ryo Kikuchi ◽  
Fumika Akutsu
Keyword(s):  
Comparative Study ◽  
Perturbative Methods
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