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Compressed sensing for privacy-prese...
~
Testa, Matteo.
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Compressed sensing for privacy-preserving data processing
Record Type:
Electronic resources : Monograph/item
Title/Author:
Compressed sensing for privacy-preserving data processing/ by Matteo Testa ... [et al.].
other author:
Testa, Matteo.
Published:
Singapore :Springer Singapore : : 2019.,
Description:
viii, 91 p. :ill., digital ;24 cm.
[NT 15003449]:
Introduction -- Compressed Sensing and Security -- Compressed Sensing as a Cryptosystem -- Privacy-preserving Embeddings -- Conclusion.
Contained By:
Springer eBooks
Subject:
Compressed sensing (Telecommunication) -
Online resource:
https://doi.org/10.1007/978-981-13-2279-2
ISBN:
9789811322792
Compressed sensing for privacy-preserving data processing
Compressed sensing for privacy-preserving data processing
[electronic resource] /by Matteo Testa ... [et al.]. - Singapore :Springer Singapore :2019. - viii, 91 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..
Introduction -- Compressed Sensing and Security -- Compressed Sensing as a Cryptosystem -- Privacy-preserving Embeddings -- Conclusion.
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 information retrieval 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.
ISBN: 9789811322792
Standard No.: 10.1007/978-981-13-2279-2doiSubjects--Topical Terms:
3214582
Compressed sensing (Telecommunication)
LC Class. No.: TK5102.9
Dewey Class. No.: 621.3822
Compressed sensing for privacy-preserving data processing
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Introduction -- Compressed Sensing and Security -- Compressed Sensing as a Cryptosystem -- Privacy-preserving Embeddings -- Conclusion.
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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 information retrieval 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.
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Engineering (Springer-11647)
based on 0 review(s)
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W9366811
電子資源
11.線上閱覽_V
電子書
EB TK5102.9
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