Presents many applications of homomorphic encryption for privacy protection, covering a broad range of fields
Includes the most recent research results known in the literature as well as time-tested claims regarding the strength of privacy protection
Contains chapters collaboratively written by well-known experts in this field
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Table of contents (15 chapters)
Introduction to Homomorphic Encryption
Applications of Homomorphic Encryption
About this book
The volume aims to connect non-expert readers with this important new cryptographic technology in an accessible and actionable way. Readers who have heard good things about homomorphic encryption but are not familiar with the details will find this book full of inspiration. Readers who have preconceived biases based on out-of-date knowledge will see the recent progress made by industrial and academic pioneers on optimizing and standardizing this technology. A clear picture of how homomorphic encryption works, how to use it to solve real-world problems, and how to efficiently strengthen privacy protection, will naturally become clear.
- privacy protection
- technology developments
- computer science applications
Editors and Affiliations
West Coast Research Science, Facebook AI Research, Seattle, USA
Cryptography and Privacy Research Group, Microsoft Research, Redmond, USA
Wei Dai, Kim Laine
About the editors
Wei Dai is a senior research SDE in the Cryptography and Privacy Research group at Microsoft Research. He received a PhD degree in Electrical and Computer Engineering from Worcester Polytechnic Institute in 2019. His research interests include applied cryptography, privacy-enhancing technologies, and cryptographic implementations. Wei is a contributor to the homomorphic encryption library Microsoft SEAL and leads the implementation of homomorphic encryption on alternative hardware platforms.
Kim Laine is a principal researcher and research manager of the Cryptography and Privacy Research Group at Microsoft Research, Redmond. He holds a PhD in mathematics from UC Berkeley and since graduation has been working at Microsoft Research on applied cryptography and privacy-enhancing technologies. Kim’s contributions to homomorphic encryption range from academic research to development of the homomorphic encryption library Microsoft SEAL. He is a co-founder of the HomomorphicEncryption.org community and a Steering Committee member.
Book Title: Protecting Privacy through Homomorphic Encryption
Editors: Kristin Lauter, Wei Dai, Kim Laine
Publisher: Springer Cham
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-77286-4Published: 05 January 2022
Softcover ISBN: 978-3-030-77289-5Published: 06 January 2023
eBook ISBN: 978-3-030-77287-1Published: 04 January 2022
Edition Number: 1
Number of Pages: XVI, 176
Number of Illustrations: 7 b/w illustrations, 28 illustrations in colour