Description: Compressed Sensing for Privacy-Preserving Data Processing, Paperback by Testa, Matteo; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico, ISBN 9811322783, ISBN-13 9789811322785, Like New Used, Free shipping in the US The objective of this book is to provide the reader with a comprehensive survey of the topic compressed sensing in information retrieval and signal detection with privacy preserving functionality without compromising the performance of the embedding in terms of accuracy or computational efficiency. The reader is guided in exploring the topic by first establishing a shared knowledge about compressed sensing and how it is used nowadays. Then, clear models and definitions for its use as a cryptosystem and a privacy-preserving embedding are laid down, before tackling state-of-the-art results for both applications. The reader will conclude th having learned that the current results in terms of security of compressed techniques allow it to be a very promising solution to many practical problems of interest. Th caters to a broad audience among researchers, scientists, or engineers with very diverse backgrounds, having interests in security, cryptography and privacy in information retrieval systems. Accompanying software is made available on the authors’ website to reproduce the experiments and techniques presented in th. The only background required to the reader is a good knowledge of linear algebra, probability and information theory.
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Book Title: Compressed Sensing for Privacy-Preserving Data Processing
Number of Pages: VIII, 91 Pages
Language: English
Publisher: Springer
Topic: Signals & Signal Processing, Security / Online Safety & Privacy, Telecommunications, Optimization
Publication Year: 2018
Illustrator: Yes
Genre: Mathematics, Computers, Technology & Engineering
Item Weight: 16 Oz
Author: Tiziano Bianchi, Enrico Magli, Diego Valsesia, Matteo Testa
Item Length: 9.3 in
Book Series: Springerbriefs in Electrical and Computer Engineering Ser.
Item Width: 6.1 in
Format: Trade Paperback
