Resources ========= Background ---------- `Differential privacy: A primer for a non-technical audience `_ `The Algorithmic Foundations of Differential Privacy `_ 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 `_ 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 `_