list of differential-privacy related repositories (and a bit more)
- OpenDP - Developing Open Source Tools for Differential Privacy
- Google's differential privacy library
- Opacus - Training PyTorch models with differential privacy
- Implementing TensorFlow with differential privacy
- Diffprivlib: The IBM Differential Privacy Library
- JAX-Privacy - Algorithms for Privacy-Preserving Machine Learning in JAX
- Harvard University Privacy Tools Project
- Google's Private Reporting Algorithms
- Tumult Analytics - Advanced platform to deploy Differential Privacy
- PyDP - OpenMinded's python version of Google's library
- PipelineDP - OpenMinded's framework for non-experts
- MW - synthetic data
- GUPT - Data Mining Platform
- Easy differential privacy in R
- Dataflow analysis & differential privacy for SQL queries
- Differential Privacy package for WEKA
- ARX - open source data anonymization tool
- diffpriv - Easy differential privacy in R
- DP-XGBoost - Private Machine Learning at Scale
- Qrlew - The SQL-to-SQL Differential Privacy layer
- Breaking Privacy in Real-World Differentially Private Synthetic Data
- Fast-Differential-Privacy - A Faster way of training PyTorch models with Differential Privacy
- The Algorithmic Foundations of Differential Privacy - Book
- Gautam Kamath - A Course In Differential Privacy
- BIU winter school - Differential Privacy: From Theory to Practice
- CS 860 - Algorithms for Private Data Analysis - Fall 2020
- Secure and Private AI - Udacity
- Damien Desfontaines - A friendly, non-technical introduction to differential privacy
- Programming Differential Privacy - Online book about differential privacy, for programmers
- Towards Data Science - Differential Privacy in Deep Learning
- Wikipedia
- A Primer for a Non-technical Audience
- Differential privacy for dummies
- Introducing TensorFlow Privacy
- Introducing Opacus
- An illustrated primer
- Win-Vector Blog
- The Promise of Differential Privacy - A Tutorial on Algorithmic Techniques
- Visualizing the accuracy-privacy trade-off - Demo
- Laplacian Noisy Counting mechanism illustratioin
- Apple - Learning with Privacy at Scale
- Apple - Differential Privacy
- Google - Deep Learning with Differential Privacy
- Microsoft - Privacy and accuracy: How Cynthia Dwork is making data analysis better
- Microsoft - Collecting telemetry data privately
- How One of Apple's Key Privacy Safeguards Falls Short
- Googles Differential Privacy May be Better Than Apples
- Privacy and machine learning: two unexpected allies?
- The Definition of Differential Privacy - Cynthia Dwork
- Tutorial on Differential Privacy
- A Practical Beginners' Guide to Differential Privacy
- Accessing Data while Preserving Privacy
- Minutephysics - Protecting Privacy with MATH (Collab with the Census)