Guide to differential privacy modifications : a taxonomy of variants and extensions

Guide to differential privacy modifications : a taxonomy of variants and extensions / Balász Pejó, Damien Desfontaines.

Shortly after it was first introduced in 2006, differential privacy became the flagship data privacy definition. Since then, numerous variants and extensions were proposed to adapt it to different scenarios and attacker models. In this work, we propose a systematic taxonomy of these variants and extensio...

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Bibliographic Details
Main Authors: Pejó, Balász (Author), Desfontaines, Damien (Author)
Format: eBook
Language:English
Published: Cham : Springer, [2022]
Series:SpringerBriefs in computer science.
Subjects:
Computer security.
Data privacy.
Computer security
Data privacy
Online Access:Click for online access
Table of Contents:
  • Intro
  • Preface
  • Contents
  • 1 Introduction
  • References
  • 2 Differential Privacy
  • 2.1 The Original Version
  • 2.2 Dimensions
  • 2.3 Properties
  • 2.4 Relations Between Definitions
  • References
  • 3 Quantification of Privacy Loss (Q)
  • 3.1 Allowing a Small Probability of Error
  • 3.2 Averaging the Privacy Loss
  • 3.3 Controlling the Tail Distribution
  • 3.4 Extension
  • 3.5 Multidimensional Definitions
  • References
  • 4 Neighborhood Definition (N)
  • 4.1 Changing the Sensitive Property
  • 4.2 Limiting the Scope of the Definition
  • 4.3 Considering Other Types of Input
  • 4.4 Extensions
  • 4.5 Multidimensional Definitions
  • References
  • 5 Variation of Privacy Loss (V)
  • 5.1 Allocating Different Privacy Levels
  • 5.2 Randomizing the Privacy Levels
  • 5.3 Multidimensional Definitions
  • References
  • 6 Background Knowledge (B)
  • 6.1 Conditioning on the Sensitive Property
  • 6.2 Removing the Effect of Correlations
  • 6.3 Multidimensional Definitions
  • References
  • 7 Change in Formalism (F)
  • 7.1 Hypothesis Testing Interpretation
  • 7.2 Prior-Posterior Bounds
  • 7.3 Comparing Two Posteriors
  • 7.4 Multidimensional Definitions
  • References
  • 8 Knowledge Gain Relativization (R)
  • 8.1 Auxiliary Leakage Functions
  • 8.2 Zero-knowledge Proofs
  • 8.3 Multidimensional Definitions
  • References
  • 9 Computational Power (C)
  • 9.1 Multidimensional Definitions
  • References
  • 10 Summarizing Table
  • 10.1 Proofs of Properties
  • References
  • 11 Scope and Related Work
  • 11.1 Methodology
  • 11.2 Out of Scope Definitions
  • 11.3 Local Model and Other Contexts
  • 11.4 Related Work
  • References
  • 12 Conclusion

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