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008			221029s2022 si | s |0|| 0|eng d
020			_a9789811691393
024	7		_a10.1007/978-981-16-9139-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2022 EB
100	1		_aLi, Jin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9100785
245	1	0	_aPrivacy-Preserving Machine Learning _cby Jin Li, Ping Li, Zheli Liu, Xiaofeng Chen, Tong Li
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publising _c2022
300			_a1 recurso en línea (VIII, 88 páginas) _b21 ilustraciones, 18 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSpringerBriefs on Cyber Security Systems and Networks _x2522-557X
505	0		_aIntroduction -- Secure Cooperative Learning in Early Years -- Outsourced Computation for Learning -- Secure Distributed Learning -- Learning with Differential Privacy -- Applications - Privacy-Preserving Image Processing -- Threats in Open Environment -- Conclusion.
520			_aThis book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. In response to the diversity of Internet services, data services based on machine learning are now available for various applications, including risk assessment and image recognition. In light of open access to datasets and not fully trusted environments, machine learning-based applications face enormous security and privacy risks. In turn, it presents studies conducted to address privacy issues and a series of proposed solutions for ensuring privacy protection in machine learning tasks involving multiple parties. In closing, the book reviews state-of-the-art privacy-preserving techniques and examines the security threats they face.
988			_aSpringer_Computer_2022
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_aLi, Ping _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685072
700	1		_aLiu, Zheli _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685073
700	1		_aChen, Xiaofeng, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685074 _d1976-
700	1		_aLi, Tong _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685075
776	0	8	_iPrinted edition: _z9789811691386
776	0	8	_iPrinted edition: _z9789811691409
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-9139-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b10/2022 _dz _eIG _zSI