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

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