1.

Record Nr.

UNINA9910350314503321

Autore

Testa Matteo

Titolo

Compressed Sensing for Privacy-Preserving Data Processing / / by Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019

ISBN

981-13-2279-1

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (99 pages)

Collana

SpringerBriefs in Signal Processing, , 2196-4076

Disciplina

006.6

Soggetti

Signal processing

Image processing

Speech processing systems

Computer security

Calculus of variations

Data structures (Computer science)

Signal, Image and Speech Processing

Privacy

Calculus of Variations and Optimal Control; Optimization

Data Structures and Information Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Compressed Sensing and Security -- Compressed Sensing as a Cryptosystem -- Privacy-preserving Embeddings -- Conclusion.

Sommario/riassunto

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.