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Classroom Contents
Misspecification, and Uncertainty Quantification in Differential Privacy
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- 1 Intro
- 2 Overview
- 3 Differential privacy's theoretical guarantees
- 4 Example: abstracting away implementation details
- 5 Why does this matter?
- 6 Notation and Problem Setup
- 7 Adversary Public Information
- 8 DP and public information
- 9 Privacy given plausible data generating processes
- 10 Units of analysis for e-DPZ
- 11 Misspecification in z
- 12 Designing 4-DPZ mechanisms
- 13 Utility and Uncertainty Quantification
- 14 Mechanism choices and operationalization
- 15 What it means to correct for measurement error?
- 16 Methodological Transparency
- 17 Design vs. adjustment
- 18 Inferential Adjustment vs. Post-Processing
- 19 Ideas for the workshop
