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  2. Forskning og information: generelt
  3. Informationsteori

Compressed Sensing for Privacy-Preserving Data Processing

Af: Tiziano Bianchi, Matteo Testa, Enrico Magli, Diego Valsesia Engelsk Paperback

Compressed Sensing for Privacy-Preserving Data Processing

Af: Tiziano Bianchi, Matteo Testa, Enrico Magli, Diego Valsesia Engelsk Paperback
Tjek vores konkurrenters priser
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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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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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 91
ISBN-13: 9789811322785
Indbinding: Paperback
Udgave:
ISBN-10: 9811322783
Kategori: Informationsteori
Udg. Dato: 11 sep 2018
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 11 sep 2018
Forfatter(e): Tiziano Bianchi, Matteo Testa, Enrico Magli, Diego Valsesia
Forfatter(e) Tiziano Bianchi, Matteo Testa, Enrico Magli, Diego Valsesia

Kategori Informationsteori

ISBN-13 9789811322785

Sprog Engelsk

Indbinding Paperback

Sider 91

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 11 sep 2018

Oplagsdato 11 sep 2018

Forlag Springer Verlag, Singapore

Kategori sammenhænge