Protecting Privacy through Homomorphic Encryption

This book is a comprehensive guide to homomorphic encryption, providing readers with a clear understanding of how it works and its practical applications in various industries.

With contributions from leading experts in academia, industry, and government, this volume offers a detailed overview of the scientific inventions, security analysis, and use scenarios for homomorphic encryption.

The book also features a collection of privacy-preserving machine learning applications powered by homomorphic encryption designed by top graduate students worldwide at the Private AI Bootcamp hosted by Microsoft Research.

Whether you're new to homomorphic encryption or looking to stay up-to-date with the latest developments, this book is an essential resource for anyone interested in this cutting-edge technology.