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On the 'Semantics' of Differential Privacy: A Bayesian Formulation

Between Pure and Approximate Differential Privacy

Statistical Approximating Distributions Under Differential Privacy

Featherweight PINQ

The Bounded Laplace Mechanism in Differential Privacy

On the Difficulties of Disclosure Prevention in Statistical Databases or The Case for Differential Privacy

How Can We Analyze Differentially-Private Synthetic Datasets?

Differentially Private Ordinary Least Squares

Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings

Concentration Bounds for High Sensitivity Functions Through Differential Privacy

Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation

Privacy-Preserving Data Sharing for Genome-Wide Association Studies

Minimaxity, Statistical Thinking and Differential Privacy

AnoA: A Framework for Analyzing Anonymous Communication Protocols

The Fienberg Problem: How to Allow Human Interactive Data Analysis in the Age of Differential Privacy

Differentially Private Inference for Binomial Data

Toward a Reconceptualization of Confidentiality Protection in the Context of Linkages with Administrative Records

Dual Query: Practical Private Query Release for High Dimensional Data

Releasing Earnings Distributions using Differential Privacy

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

Practical Data Synthesis for Large Samples

67-97

Remembering Stephen Fienberg

An Intuitive Formulation and Solution of the Exact Cell-Bounding Problem for Contingency Tables of Conditional Frequencies

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

On the Meaning and Limits of Empirical Differential Privacy

53-66

Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data