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Autor(en): 
  • Enrico Magli
  • Matteo Testa
  • Diego Valsesia
  • Tiziano Bianchi
  • Compressed Sensing for Privacy-Preserving Data Processing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  September 2018  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Algorithmen und Datenstrukturen / Algorithmus / circulantmatrices / CompressedSensing / cryptosystemmodels / dataprivacy / datasecurity / Datenschutz
    ISBN:  9789811322785 
    EAN-Code: 
    9789811322785 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  SpringerBriefs in Electrical and Computer Engineering
    SpringerBriefs in Signal Processing  
    Dimensionen:  H 235 mm / B 155 mm / D 6 mm 
    Gewicht:  166 gr 
    Seiten:  100 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 informationretrieval 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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