Resources List

Note

We are not actively maintaining this list. Instead see the OpenDP Project’s Educational Resources page.

Foundations

• Differential privacy: A primer for a non-technical audience

• The Algorithmic Foundations of Differential Privacy

Applying Differential Privacy

• The Privacy Deployments Registry provides examples of the privacy budgets chosen by real-world deployments.

• DP Wizard produces Jupyter notebooks that demonstrate the OpenDP API on your own data.

Learning About Differential Privacy

• Courses & Educational Materials from the Harvard University Privacy Tools Project

• Designing Access with Differential Privacy

• Programming Differential Privacy

• Privacy and Confidentiality Protection Overview

• Hands-On Differential Privacy is co-authored by the OpenDP Library architect

Papers

• The Complexity of Differential Privacy

• Calibrating Noise to Sensitivity in Private Data Analysis (Laplace mechanism)

• On Significance of the Least Significant Bits For Differential Privacy (Snapping mechanism and how floating-point numbers and the laplace mechanism leak)

• Mechanism Design via Differential Privacy (Exponential mechanism)

• Differential Privacy on Finite Computers (Geometric mechanism)

• Privacy-preserving Statistical Estimation with Optimal Convergence Rates (Sample/aggregate and quantiles)

• Deep Learning with Differential Privacy (Gradient descent)

• U.S. Broadband Coverage Data Set: A Differentially Private Data Release

• A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses for Administrative Tax Data