000			nam a22 7a 4500
999			_c29504 _d29504
008			190527b xxu||||| |||| 00| 0 eng d
020			_a9789811322785 _c(pbk)
082			_a621.3822 _bTES
100			_aTesta, Matteo
245			_aCompressed sensing for privacy-preserving data processing
260			_aSingapore : _bSpringer, _c2019
300			_aviii, 91 p. : _bill. ; _c23.3 cm.
365			_aEUR _b54.99 _d00
490			_aSpringerBriefs in electrical and computer engineering, Signal processing
504			_aIncludes bibliographical references
520			_aThe 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.
650			_aData structures
650			_aPrivacy &​ data protection
650			_aCalculus of variations
650			_aImaging systems &​ technology
650			_aComputer security
650			_aMathematical optimization
700			_aValsesia, Diego _eaut
700			_aBianchi, Tiziano _eaut
700			_aMagli, Enrico _eaut
942			_2ddc _cBK