Compressed Sensing for Privacy-Preserving Data Processing

• Main Authors: Testa, Matteo (Author, http://id.loc.gov/vocabulary/relators/aut), Valsesia, Diego (http://id.loc.gov/vocabulary/relators/aut), Bianchi, Tiziano (http://id.loc.gov/vocabulary/relators/aut), Magli, Enrico (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: SpringerBriefs in Signal Processing,
• Subjects: 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.

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....

Table of Contents:

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