Compressed Sensing for Privacy-Preserving Data Processing
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 te
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Matteo Testa · Diego Valsesia Tiziano Bianchi · Enrico Magli
Compressed Sensing for Privacy-Preserving Data Processing
123
SpringerBriefs in Electrical and Computer Engineering Signal Processing
Series editors Woon-Seng Gan, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore C.-C. Jay Kuo, Los Angeles, CA, USA Thomas Fang Zheng, Tsinghua University, Beijing, China Mauro Barni, Università degli Studi di Siena, Siena, Italy
More information about this series at http://www.springer.com/series/11560
Matteo Testa Diego Valsesia Tiziano Bianchi Enrico Magli •
•
Compressed Sensing for Privacy-Preserving Data Processing
123
Matteo Testa Department of Electronics and Telecommunications Politecnico di Torino Turin, Italy
Tiziano Bianchi Department of Electronics and Telecommunications Politecnico di Torino Turin, Italy
Diego Valsesia Department of Electronics and Telecommunications Politecnico di Torino Turin, Italy
Enrico Magli Department of Electronics and Telecommunications Politecnico di Torino Turin, Italy
ISSN 2191-8112 ISSN 2191-8120 (electronic) SpringerBriefs in Electrical and Computer Engineering ISSN 2196-4076 ISSN 2196-4084 (electronic) SpringerBriefs in Signal Processing ISBN 978-981-13-2278-5 ISBN 978-981-13-2279-2 (eBook) https://doi.org/10.1007/978-981-13-2279-2 Library of Congress Control Number: 2018954021 © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
Compressed sensing is an established technique for simultaneous signal acquisition and compression, as well as dimensionality reduction, based on re
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