Protecting Privacy through Homomorphic Encryption

This book provides a comprehensive overview of homomorphic encryption, covering recent inventions, guidelines, recommendations, and practical applications. It is the result of a collaborative effort by experts in the field and features a collection of privacy-preserving machine learning applications. The book aims to connect non-expert readers with this important cryptographic technology and showcase the recent progress made in optimizing and standardizing it.

Format: Paperback / softback
Length: 176 pages
Publication date: 06 January 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book serves as a valuable resource for anyone interested in the field of homomorphic encryption. It provides a thorough summary of recent inventions, offers guidelines and recommendations, and showcases numerous practical applications of this powerful cryptographic technique. The book is the result of collaborative efforts by a global community of experts in academia, industry, and government, who have been working diligently to standardize homomorphic encryption over the past three years.

This publication marks the first time that these experts have come together to present a comprehensive set of whitepapers that delve into the scientific breakthroughs, conduct a rigorous security analysis, and explore diverse use scenarios and markets. Furthermore, the book features a collection of privacy-preserving machine learning applications powered by homomorphic encryption developed by top graduate students from around the world at the Private AI Bootcamp hosted by Microsoft Research.

The primary objective of this volume is to bridge the gap between non-expert readers and this groundbreaking cryptographic technology in a user-friendly and actionable manner. Whether you have heard about homomorphic encryption and are eager to learn more or have preconceived notions based on outdated information, this book offers valuable insights. It provides a clear and comprehensive explanation of how homomorphic encryption works, showcases its practical applications, and highlights the recent advancements made by industrial and academic pioneers in optimizing and standardizing this technology.

By reading this book, readers will gain a deep understanding of the mechanisms behind homomorphic encryption, learn how to apply it to solve real-world problems, and explore effective strategies for enhancing privacy protection. The book is designed to be accessible to a wide range of audiences, including researchers, developers, policymakers, and anyone with an interest in protecting sensitive data and ensuring privacy in the digital age.

Weight: 308g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030772895
Edition number: 1st ed. 2021