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Compressed Sensing for Privacy-Preserving Data Processing

  • Book
  • © 2019

Overview

Authors:
  1. Matteo Testa

    1. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

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  2. Diego Valsesia

    1. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

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  3. Tiziano Bianchi

    1. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

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  4. Enrico Magli

    1. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

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  • Comprehensively describes the state of the art in compressed sensing and security and related applications
  • Includes software that allows readers to follow the theory and reproduce the experiments
  • Covers applications for the use of compressed sensing as a cryptosystem and a privacy-preserving embedding

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

Part of the book sub series: SpringerBriefs in Signal Processing (BRIEFSSIGNAL)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-viii
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  2. Introduction

    • Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli
    Pages 1-6

  3. Compressed Sensing and Security

    • Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli
    Pages 7-24

  4. Compressed Sensing as a Cryptosystem

    • Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli
    Pages 25-71

  5. Privacy-Preserving Embeddings

    • Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli
    Pages 73-90

  6. Conclusions

    • Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli
    Pages 91-91
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

    Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli

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