Description: Compressed Sensing for Privacy-Preserving Data Processing by Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 the book 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. The book caters to a broad audience among researchers, scientists, or engineers with very diverse backgrounds, having interests in security, cryptography and privacy in informationretrieval systems. Accompanying software is made available on the authors website to reproduce the experiments and techniques presented in the book. The only background required to the reader is a good knowledge of linear algebra, probability and information theory. Table of Contents Introduction.- Compressed Sensing and Security.- Compressed Sensing as a Cryptosystem.- Privacy-preserving Embeddings.- Conclusion. Feature Comprehensively describes the state of the art in compressed sensing and security and related applications Includes software that allows readers to follow the theory and reproduce the experiments Covers applications for the use of compressed sensing as a cryptosystem and a privacy-preserving embedding Details ISBN9811322783 Author Enrico Magli Publisher Springer Verlag, Singapore Year 2018 Edition 1st ISBN-10 9811322783 ISBN-13 9789811322785 Format Paperback Imprint Springer Verlag, Singapore Place of Publication Singapore Country of Publication Singapore DEWEY 005.74 Pages 91 Illustrations 26 Illustrations, color; 3 Illustrations, black and white; VIII, 91 p. 29 illus., 26 illus. in color. Publication Date 2018-09-11 Language English DOI 10.1007/978-981-13-2279-2 UK Release Date 2018-09-11 Edition Description 1st ed. 2019 Audience Professional & Vocational Series SpringerBriefs in Electrical and Computer Engineering We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131043332;
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ISBN-13: 9789811322785
Book Title: Compressed Sensing for Privacy-Preserving Data Processing
Subject Area: Information Science
Item Height: 235 mm
Item Width: 155 mm
Author: Enrico Magli, Matteo Testa, Diego Valsesia, Tiziano Bianchi
Publication Name: Compressed Sensing for Privacy-Preserving Data Processing
Format: Paperback
Language: English
Publisher: Springer Verlag, Singapore
Subject: Engineering & Technology, Computer Science, Mathematics
Publication Year: 2018
Type: Textbook
Item Weight: 169 g
Number of Pages: 91 Pages