Part 1 Basics of privacy-preserving machine learning with differential privacy

Part 1 covers the basics of privacy-preserving machine learning and differential privacy. Chapter 1 discusses privacy considerations in machine learning with an emphasis on the dangers of private data being exposed. Chapter 2 introduces the core concepts of differential privacy along with some widely adopted differential privacy mechanisms that serve as building blocks in various privacy-preserving algorithms and applications. Chapter 3 covers the advanced design principles of differentially private machine learning algorithms and presents a case study.