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008			230310s2023 si | o |||| 0|eng d
020			_a9789811986925
024	7		_a10.1007/978-981-19-8692-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .A25 _b2023 EB
100	1		_aYu, Shui _eautor _0(orcid)0000-0003-4485-6743 _1https://orcid.org/0000-0003-4485-6743 _4http://id.loc.gov/vocabulary/relators/aut _998282
245	1	0	_aSecurity and Privacy in Federated Learning _cby Shui Yu, Lei Cui
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aDigital Privacy and Security _x2731-9938
505	0		_aChapter 1. Introduction of Federated Learning -- Chapter 2. Inference Attacks and Counter Attacks in Federated Learning -- Chapter 3. Poisoning Attacks and Counter Attacks in Federated Learning -- Chapter 4. GAN Attacks and Counter Attacks in Federated Learning -- Chapter 5. Differential Privacy in Federated Learning -- Chapter 6. Secure Multi-Party Computation in Federated Learning -- Chapter 7. Secure Data Aggregation in Federated Learning -- Chapter 8. Anonymous Communication and Shuffle Model in Federated Learning -- Chapter 9. The Future Work.
520			_aIn this book, the authors highlight the latest research findings on the security and privacy of federated learning systems. The main attacks and counterattacks in this booming field are presented to readers in connection with inference, poisoning, generative adversarial networks, differential privacy, secure multi-party computation, homomorphic encryption, and shuffle, respectively. The book offers an essential overview for researchers who are new to the field, while also equipping them to explore this "uncharted territory." For each topic, the authors first present the key concepts, followed by the most important issues and solutions, with appropriate references for further reading. The book is self-contained, and all chapters can be read independently. It offers a valuable resource for master's students, upper undergraduates, Ph.D. students, and practicing engineers alike.
988			_aSpringer_Computer_2023
650		7	_2embne _9158200 _aSeguridad informática
700	1		_9689546 _aCui, Lei _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-8692-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eb _zSI