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020			_a9783030987954
024	7		_a10.1007/978-3-030-98795-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.A25 _b2022 EB
245	0	0	_aSecurity and Artificial Intelligence : _ba Crossdisciplinary Approach _cedited by Lejla Batina, Thomas Bäck, Ileana Buhan, Stjepan Picek
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (X, 361 páginas) _b43 ilustraciones, 28 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Computer Science _x1611-3349 _v13049
505	0		_aAI for Cryptography -- Artificial Intelligence for the Design of Symmetric Cryptographic Primitives -- Traditional Machine Learning Methods for Side-Channel Analysis -- Deep Learning on Side-Channel Analysis -- Artificial Neural Networks and Fault Injection Attacks -- Physically Unclonable Functions and AI: Two Decades of Marriage -- AI for Authentication and Privacy -- Privacy-Preserving Machine Learning using Cryptography -- Machine Learning Meets Data Modification: the Potential of Pre-processing for Privacy Enhancement -- AI for Biometric Authentication Systems -- Machine Learning and Deep Learning for Hardware Fingerprinting. - AI for Intrusion Detection -- Intelligent Malware Defenses -- Open-World Network Intrusion Detection -- Security of AI -- Adversarial Machine Learning -- Deep Learning Backdoors. - On Implementation-level Security of Edge-based Machine Learning Models.
520			_aAI has become an emerging technology to assess security and privacy, with many challenges and potential solutions at the algorithm, architecture, and implementation levels. So far, research on AI and security has looked at subproblems in isolation but future solutions will require sharing of experience and best practice in these domains. The editors of this State-of-the-Art Survey invited a cross-disciplinary team of researchers to a Lorentz workshop in 2019 to improve collaboration in these areas. Some contributions were initiated at the event, others were developed since through further invitations, editing, and cross-reviewing. This contributed book contains 14 invited chapters that address side-channel attacks and fault injection, cryptographic primitives, adversarial machine learning, and intrusion detection. The chapters were evaluated based on their significance, technical quality, and relevance to the topics of security and AI, and each submission was reviewed in single-blind mode and revised. .
988			_aSpringer_Computer_2022
650		7	_2embne _9158200 _aSeguridad informática
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aBatina, Lejla _eeditor literario _0(orcid)0000-0003-0727-3573 _1https://orcid.org/0000-0003-0727-3573 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBäck, Thomas _eeditor literario _0(orcid)0000-0001-6768-1478 _1https://orcid.org/0000-0001-6768-1478 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBuhan, Ileana _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPicek, Stjepan _eeditor literario _0(orcid)0000-0001-7509-4337 _1https://orcid.org/0000-0001-7509-4337 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030987947
776	0	8	_iPrinted edition: _z9783030987961
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-98795-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2022 _dz _eIG _zSI