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A New Data Collection Technique for Preserving Privacy

99-129

An Axiomatic View of Statistical Privacy and Utility

Per-instance Differential Privacy

Heterogeneous Differential Privacy

Towards a Systematic Analysis of Privacy Definitions

BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model

Calibrating Noise to Sensitivity in Private Data Analysis

17-51

Statistical Disclosure Limitation: New Directions and Challenges

An Evaluation Framework for Privacy-Preserving Record Linkage

Privacy via the Johnson-Lindenstrauss Transform

A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples

A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms

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

Differential Privacy on Finite Computers

Local Differential Privacy for Evolving Data

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

Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning

Make Up Your Mind: The Price of Online Queries in Differential Privacy

Differentially Private Ordinary Least Squares

Dual Query: Practical Private Query Release for High Dimensional Data

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

Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation

Privacy-Preserving Data Sharing for Genome-Wide Association Studies

Featherweight PINQ

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