awesome-differential-privacy

Talk at the Institut Henri Poincaré.

CERIAS security seminar at Purdue University.

Minutephysics video made in collaboration with the US Census Bureau.

Talk by Cynthia Dwork at the Institute for Advanced Study.

Tutorial from the Simons Institute for the Theory of Computing.

Video lectures by Gautam Kamath.

Blog post series by Damien Desfontaines.

Lectures from the Bar-Ilan University school "Differential Privacy: From Theory to Practice".

Graduate course by Gautam Kamath, with lecture notes and videos.

Introduction to applying differential privacy to deep learning.

Online book about differential privacy, for programmers.

Worked examples of differential privacy by Frank McSherry.

Introduction to differential privacy for lawyers and policymakers.

Informal introduction by Frank McSherry.

Announcement of the Opacus library.

Announcement of the TensorFlow Privacy library.

Interactive illustration of the Laplace mechanism.

Apple's overview of its use of differential privacy.

How Apple uses local differential privacy to learn from user data.

Paper introducing differentially private stochastic gradient descent.

Comparison of the two companies' approaches.

Critique of the privacy parameters used by Apple.

How Microsoft collects telemetry with local differential privacy.

Data anonymization tool supporting differential privacy, k-anonymity and other privacy models.

R package for easy differential privacy.

IBM's general-purpose library of differential privacy mechanisms and machine learning models.

Differentially private gradient boosted trees at scale, built on XGBoost.

Faster differentially private training of PyTorch models.

C++, Go and Java libraries for computing differentially private statistics.