|
" Compressed sensing for privacy-preserving data processing / "
Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli.
| Document Type
|
:
|
BL
|
| Record Number
|
:
|
890151
|
| Main Entry
|
:
|
Testa, Matteo
|
| Title & Author
|
:
|
Compressed sensing for privacy-preserving data processing /\ Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli.
|
| Publication Statement
|
:
|
Singapore :: Springer,, [2019]
|
|
|
:
|
, ©2019
|
| Series Statement
|
:
|
SpringerBriefs in electrical and computer engineering, Signal processing,
|
| Page. NO
|
:
|
1 online resource (viii, 91 pages) :: illustrations
|
| ISBN
|
:
|
9789811322785
|
|
|
:
|
: 9789811322792
|
|
|
:
|
: 9789811322808
|
|
|
:
|
: 9811322783
|
|
|
:
|
: 9811322791
|
|
|
:
|
: 9811322805
|
|
|
:
|
9789811322785
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references.
|
| Contents
|
:
|
Introduction -- Compressed Sensing and Security -- Compressed Sensing as a Cryptosystem -- Privacy-preserving Embeddings -- Conclusion.
|
| Abstract
|
:
|
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.
|
| Subject
|
:
|
Compressed sensing (Telecommunication)
|
| Subject
|
:
|
Algorithms data structures.
|
| Subject
|
:
|
Calculus of variations.
|
| Subject
|
:
|
Compressed sensing (Telecommunication)
|
| Subject
|
:
|
Imaging systems technology.
|
| Subject
|
:
|
Privacy data protection.
|
| Subject
|
:
|
TECHNOLOGY ENGINEERING / Mechanical.
|
| Subject
|
:
|
Signal, Image and Speech Processing.
|
| Subject
|
:
|
Calculus of Variations and Optimal Control; Optimization.
|
| Subject
|
:
|
Data Structures, Cryptology and Information Theory.
|
| Subject
|
:
|
Privacy.
|
| Dewey Classification
|
:
|
621.382/2
|
| LC Classification
|
:
|
TK5102.9
|
| Added Entry
|
:
|
Bianchi, Tiziano
|
|
|
:
|
Magli, Enrico
|
|
|
:
|
Valsesia, Diego
|
| |