Comprehensive guide to programming differential privacy, using Python examples and interactive chapters. Suitable for computer science undergraduates.
Technical TutorialsPythonSecurity
Introduction
Programming Differential Privacy is a book authored by Joseph Near and Chiké Abuah. It provides a comprehensive overview of the concepts and techniques related to programming differential privacy, making it a valuable resource for developers and data privacy enthusiasts.
Highlights
The book uses examples and Python code to explain the ideas behind differential privacy
It is executable, with each chapter generated from Python code
Readers can launch an interactive version of each chapter by clicking the "Launch Binder" icon
Recommendation
This book is suitable for undergraduate students in computer science and does not require any prior theory background. It is a living, open-source book, and the authors welcome comments, suggestions, and contributions from the community.
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