The Resource Compressed Sensing for Privacy-Preserving Data Processing, by Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli, (electronic resource)

Compressed Sensing for Privacy-Preserving Data Processing, by Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli, (electronic resource)

Label
Compressed Sensing for Privacy-Preserving Data Processing
Title
Compressed Sensing for Privacy-Preserving Data Processing
Statement of responsibility
by Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli
Creator
Contributor
Author
Author
Provider
Subject
Language
eng
Summary
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
Member of
http://library.link/vocab/creatorName
Testa, Matteo
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • IYaqQ7nNkRo
  • DxSn82dTH3I
  • Lj4Zpw2CGSA
  • _2his8imD2Q
Image bit depth
0
LC call number
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Valsesia, Diego.
  • Bianchi, Tiziano.
  • Magli, Enrico.
  • SpringerLink
Series statement
SpringerBriefs in Signal Processing,
http://library.link/vocab/subjectName
  • Computer security
  • Mathematical optimization
  • Data structures (Computer scienc
  • Signal, Image and Speech Processing
  • Privacy
  • Calculus of Variations and Optimal Control; Optimization
  • Data Structures and Information Theory
Label
Compressed Sensing for Privacy-Preserving Data Processing, by Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Compressed Sensing and Security -- Compressed Sensing as a Cryptosystem -- Privacy-preserving Embeddings -- Conclusion
Dimensions
unknown
Extent
VIII, 91 p. 29 illus., 26 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811322792
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-13-2279-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-13-2279-2
Label
Compressed Sensing for Privacy-Preserving Data Processing, by Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Compressed Sensing and Security -- Compressed Sensing as a Cryptosystem -- Privacy-preserving Embeddings -- Conclusion
Dimensions
unknown
Extent
VIII, 91 p. 29 illus., 26 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811322792
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-13-2279-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-13-2279-2

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