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Homomorphic Encryption for Data Science (HE4DS)
By Allon Adir
0 - Default Title
Description
Specifically, this book summarizes polynomial approximation techniques used by FHE applications and various data packing schemes based on a data structure called tile tensors, and demonstrates how to use the studied techniques in several specific privacy preserving applications. Examples and exercises are also included throughout this book.
The proliferation of practical FHE technology has triggered a wide interest in the field and a common wish to experience and understand it. This book aims to simplify the FHE world for those who are interested in privacy preserving data science tasks, and for an audience that does not necessarily have a deep cryptographic background, including undergraduate and graduate-level students in computer science, and data scientists who plan to work on private data and models.
Product details
Binding:
Paperback
Number of Pages:
328
Release Date:
2025-11-11
Publication Date:
2025-11-11
Publisher:
Springer
Languages:
Original:
English
ISBN10:
303165496X
ISBN13:
9783031654961
GPSR Manufacturer Reference:
Weight:
499 g
Height:
155 cm
Width:
235 cm
Thickness:
18 cm
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