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Differential Privacy in Practice: Expose your Epsilons!

Differentially Private Confidence Intervals for Empirical Risk Minimization

BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model

Per-instance Differential Privacy

Local Differential Privacy for Evolving Data

Differential Privacy on Finite Computers

Differential Privacy for Statistics: What we Know and What we Want to Learn

Privacy via the Johnson-Lindenstrauss Transform

Random Differential Privacy

Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications

Statistical Approximating Distributions Under Differential Privacy

An Evaluation Framework for Privacy-Preserving Record Linkage

Privacy Protection from Sampling and Perturbation in Survey Microdata

Statistical Disclosure Limitation: New Directions and Challenges

A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms

Differentially Private Inference for Binomial Data

A New Data Collection Technique for Preserving Privacy

99-129

Differentially Private Ordinary Least Squares

Designing Incentive Schemes for Privacy-Sensitive Users

Releasing Earnings Distributions using Differential Privacy

Disclosure Avoidance System For Post-Secondary Employment Outcomes (PSEO)

On the Meaning and Limits of Empirical Differential Privacy

53-66

Differentially private posterior summaries for linear regression coefficients

Releasing Microdata: Disclosure Risk Estimation, Data Masking and Assessing Utility

Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts

Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources