Part 3 Building privacy-assured machine learning applications

Part 3 covers the next-level core concepts required to build privacy-assured machine learning applications. Chapter 7 introduces the importance of privacy preservation in data mining applications, looking at privacy protection mechanisms widely used in data mining for processing and publishing data. Chapter 8 discusses widely used privacy models in data mining and their threats and vulnerabilities. Chapter 9 focuses on compressive privacy for machine learning, discussing its design and implementation. Finally, chapter 10 puts the concepts from all the previous chapters together to design a privacy-enhanced platform for protecting and sharing research data.