Protecting Privacy through Homomorphic Encryption

The book "Protecting Privacy through Homomorphic Encryption" offers a comprehensive overview of recent developments in the field of homomorphic encryption. It brings together insights from leading experts and serves as a valuable resource for professionals and enthusiasts who wish to engage with this innovative cryptographic technology. Over the past three years, a global community of researchers from academia, industry, and government has been working intensively on standardizing homomorphic encryption. This publication includes the first white papers that detail the scientific inventions, present a concrete security analysis, and discuss various use cases and markets. Additionally, it showcases practical applications in the area of privacy-friendly machine learning, developed by talented students as part of Microsoft's Private AI Bootcamp. The book aims to provide access to this important technology for non-experts and to inspire them.