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

9783319997704, 9783319997711

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Efficiency and Sample Size Determination of Protected Data

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_18 ◽

2018 ◽

pp. 263-278

Author(s):

Bradley Wakefield ◽

Yan-Xia Lin

Keyword(s):

Sample Size ◽

Sample Size Determination ◽

Size Determination

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Multiparty Computation with Statistical Input Confidentiality via Randomized Response

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_12 ◽

2018 ◽

pp. 175-186 ◽

Cited By ~ 1

Author(s):

Josep Domingo-Ferrer ◽

Rafael Mulero-Vellido ◽

Jordi Soria-Comas

Keyword(s):

Multiparty Computation ◽

Randomized Response

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

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_7 ◽

2018 ◽

pp. 92-108

Author(s):

Michelle Pistner ◽

Aleksandra Slavković ◽

Lars Vilhuber

Keyword(s):

Quantile Regression ◽

Synthetic Data ◽

Heavy Tailed

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Differential Correct Attribution Probability for Synthetic Data: An Exploration

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_9 ◽

2018 ◽

pp. 122-137 ◽

Cited By ~ 5

Author(s):

Jennifer Taub ◽

Mark Elliot ◽

Maria Pampaka ◽

Duncan Smith

Keyword(s):

Synthetic Data

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Generalized Bayesian Record Linkage and Regression with Exact Error Propagation

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_20 ◽

2018 ◽

pp. 297-313

Author(s):

Rebecca C. Steorts ◽

Andrea Tancredi ◽

Brunero Liseo

Keyword(s):

Record Linkage ◽

Error Propagation

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Symmetric vs Asymmetric Protection Levels in SDC Methods for Tabular Data

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_1 ◽

2018 ◽

pp. 3-12

Author(s):

Daniel Baena ◽

Jordi Castro ◽

José A. González

Keyword(s):

Tabular Data

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The Quasi-Multinomial Synthesizer for Categorical Data

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_6 ◽

2018 ◽

pp. 75-91

Author(s):

Jingchen Hu ◽

Nobuaki Hoshino

Keyword(s):

Categorical Data

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

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_14 ◽

2018 ◽

pp. 200-214

Author(s):

Shinsuke Ito ◽

Toru Yoshitake ◽

Ryo Kikuchi ◽

Fumika Akutsu

Keyword(s):

Comparative Study ◽

Perturbative Methods

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

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_5 ◽

2018 ◽

pp. 59-74 ◽

Cited By ~ 3

Author(s):

Nicolas Ruiz ◽

Krishnamurty Muralidhar ◽

Josep Domingo-Ferrer

Keyword(s):

Synthetic Data

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pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity

Privacy in Statistical Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99771-1_10 ◽

2018 ◽

pp. 138-159 ◽

Cited By ~ 2

Author(s):

Joshua Snoke ◽

Aleksandra Slavković

Keyword(s):

Synthetic Data ◽

Distributional Similarity

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Privacy in Statistical Databases - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Efficiency and Sample Size Determination of Protected Data

Multiparty Computation with Statistical Input Confidentiality via Randomized Response

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

Differential Correct Attribution Probability for Synthetic Data: An Exploration

Generalized Bayesian Record Linkage and Regression with Exact Error Propagation

Symmetric vs Asymmetric Protection Levels in SDC Methods for Tabular Data

The Quasi-Multinomial Synthesizer for Categorical Data

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

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

pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity

Privacy in Statistical Databases - Lecture Notes in Computer Science
Latest Publications