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Privacy in Statistical Databases

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Cover of 'Privacy in Statistical Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Symmetric vs Asymmetric Protection Levels in SDC Methods for Tabular Data
  3. Altmetric Badge
    Chapter 2 Bounded Small Cell Adjustments for Flexible Frequency Table Generators
  4. Altmetric Badge
    Chapter 3 Designing Confidentiality on the Fly Methodology – Three Aspects
  5. Altmetric Badge
    Chapter 4 Protecting Census 2021 Origin-Destination Data Using a Combination of Cell-Key Perturbation and Suppression
  6. Altmetric Badge
    Chapter 5 On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective
  7. Altmetric Badge
    Chapter 6 The Quasi-Multinomial Synthesizer for Categorical Data
  8. Altmetric Badge
    Chapter 7 Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data
  9. Altmetric Badge
    Chapter 8 Some Clarifications Regarding Fully Synthetic Data
  10. Altmetric Badge
    Chapter 9 Differential Correct Attribution Probability for Synthetic Data: An Exploration
  11. Altmetric Badge
    Chapter 10 pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
  12. Altmetric Badge
    Chapter 11 The Application of Genetic Algorithms to Data Synthesis: A Comparison of Three Crossover Methods
  13. Altmetric Badge
    Chapter 12 Multiparty Computation with Statistical Input Confidentiality via Randomized Response
  14. Altmetric Badge
    Chapter 13 Grouping of Variables to Facilitate SDL Methods in Multivariate Data Sets
  15. Altmetric Badge
    Chapter 14 Comparative Study of the Effectiveness of Perturbative Methods for Creating Official Microdata in Japan
  16. Altmetric Badge
    Chapter 15 A General Framework and Metrics for Longitudinal Data Anonymization
  17. Altmetric Badge
    Chapter 16 Reviewing the Methods of Estimating the Density Function Based on Masked Data
  18. Altmetric Badge
    Chapter 17 Protecting Values Close to Zero Under the Multiplicative Noise Method
  19. Altmetric Badge
    Chapter 18 Efficiency and Sample Size Determination of Protected Data
  20. Altmetric Badge
    Chapter 19 Quantifying the Protection Level of a Noise Candidate for Noise Multiplication Masking Scheme
  21. Altmetric Badge
    Chapter 20 Generalized Bayesian Record Linkage and Regression with Exact Error Propagation
  22. Altmetric Badge
    Chapter 21 Probabilistic Blocking with an Application to the Syrian Conflict
  23. Altmetric Badge
    Chapter 22 SwapMob: Swapping Trajectories for Mobility Anonymization
  24. Altmetric Badge
    Chapter 23 Safely Plotting Continuous Variables on a Map
Attention for Chapter 1: Symmetric vs Asymmetric Protection Levels in SDC Methods for Tabular Data
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Chapter title
Symmetric vs Asymmetric Protection Levels in SDC Methods for Tabular Data
Chapter number 1
Book title
Privacy in Statistical Databases
Published in
Lecture notes in computer science, September 2018
DOI 10.1007/978-3-319-99771-1_1
Book ISBNs
978-3-31-999770-4, 978-3-31-999771-1
Authors

Daniel Baena, Jordi Castro, José A. González, Baena, Daniel, Castro Pérez, Jordi, González Alastrué, José Antonio, Castro, Jordi, González, José A.

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Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 October 2018.
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