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010   $a981-13-2279-1
024 7 $a10.1007/978-981-13-2279-2
035   $a(CKB)4100000006098182
035   $a(MiAaPQ)EBC5507959
035   $a(DE-He213)978-981-13-2279-2
035   $a(PPN)230535860
035   $a(EXLCZ)994100000006098182
100   $a20180901d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aCompressed Sensing for Privacy-Preserving Data Processing /$fby Matteo Testa, Diego Valsesia, Tiziano Bianchi, Enrico Magli
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (99 pages)
225 1 $aSpringerBriefs in Signal Processing,$x2196-4076
311   $a981-13-2278-3 
327   $aIntroduction -- Compressed Sensing and Security -- Compressed Sensing as a Cryptosystem -- Privacy-preserving Embeddings -- Conclusion.
330   $aThe objective of this book is to provide the reader with a comprehensive survey of the topic compressed sensing in information retrieval and signal detection with privacy preserving functionality without compromising the performance of the embedding in terms of accuracy or computational efficiency. The reader is guided in exploring the topic by first establishing a shared knowledge about compressed sensing and how it is used nowadays. Then, clear models and definitions for its use as a cryptosystem and a privacy-preserving embedding are laid down, before tackling state-of-the-art results for both applications. The reader will conclude the book having learned that the current results in terms of security of compressed techniques allow it to be a very promising solution to many practical problems of interest. The book caters to a broad audience among researchers, scientists, or engineers with very diverse backgrounds, having interests in security, cryptography and privacy in information retrieval systems. Accompanying software is made available on the authors? website to reproduce the experiments and techniques presented in the book. The only background required to the reader is a good knowledge of linear algebra, probability and information theory.
410  0$aSpringerBriefs in Signal Processing,$x2196-4076
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aComputer security
606   $aCalculus of variations
606   $aData structures (Computer science)
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aPrivacy$3https://scigraph.springernature.com/ontologies/product-market-codes/I28010
606   $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016
606   $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aComputer security.
615  0$aCalculus of variations.
615  0$aData structures (Computer science)
615 14$aSignal, Image and Speech Processing.
615 24$aPrivacy.
615 24$aCalculus of Variations and Optimal Control; Optimization.
615 24$aData Structures and Information Theory.
676   $a006.6
700   $aTesta$b Matteo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0969689
702   $aValsesia$b Diego$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aBianchi$b Tiziano$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aMagli$b Enrico$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910350314503321
996   $aCompressed Sensing for Privacy-Preserving Data Processing$92203630
997   $aUNINA