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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Blue Vase Books, Interlochen, MI, U.S.A.
Condizione: very_good. Book has little sign of wear or use.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 24,44
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 20,90
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 24,43
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 28,75
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Editore: Springer
Da: Academic Book Solutions, Medford, NY, U.S.A.
paperback. Condizione: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 50,93
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 60,10
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Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2025
ISBN 10: 3031817796 ISBN 13: 9783031817793
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 66,18
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2025
ISBN 10: 3031817796 ISBN 13: 9783031817793
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 70,66
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 57,49
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 57,48
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,75
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Da: Revaluation Books, Exeter, Regno Unito
EUR 77,47
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Aggiungi al carrelloPaperback. Condizione: Brand New. 118 pages. 9.25x6.10x9.21 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2025
ISBN 10: 3031817796 ISBN 13: 9783031817793
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 67,03
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031817796 ISBN 13: 9783031817793
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This comprehensive handbook explores how artificial intelligence is transforming cybersecurity training, with a specific focus on practical implementation strategies for organizations. The book examines AI-driven approaches including personalized learning systems, gamification techniques, and immersive training environments using virtual and augmented reality. It provides detailed guidance on creating adaptive learning programs that respond to individual learner needs while addressing emerging cybersecurity threats.Key topics include AI-powered personalization of training content, development of realistic threat scenarios, integration of VR/AR technologies for hands-on practice, and implementation of gamification elements to boost engagement. The book offers concrete strategies for organizations to leverage AI in building more effective and engaging cybersecurity training programs that adapt to evolving security challenges. This handbook distinguishes itself from existing cybersecurity literature by focusing specifically on AI's application in training and skill development, rather than general cybersecurity operations. It serves both as a practical guide for professionals implementing AI-driven training programs and as a valuable resource for researchers and educators in cybersecurity, artificial intelligence, and organizational learning.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2025
ISBN 10: 3031817796 ISBN 13: 9783031817793
Da: Rarewaves.com UK, London, Regno Unito
EUR 65,61
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2025
ISBN 10: 1394368488 ISBN 13: 9781394368488
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 154,92
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Aggiungi al carrelloHardback. Condizione: New. Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoretical foundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selectionIntelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generationDeepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integritySecurity attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacksPrivacy-preserving AI techniques including federated learning and homomorphic encryption Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.
EUR 158,15
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2025
ISBN 10: 1394368488 ISBN 13: 9781394368488
Da: Rarewaves.com UK, London, Regno Unito
EUR 143,40
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Aggiungi al carrelloHardback. Condizione: New. Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoretical foundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selectionIntelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generationDeepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integritySecurity attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacksPrivacy-preserving AI techniques including federated learning and homomorphic encryption Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 28,35
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 26,18
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 48,74
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Lingua: Inglese
Editore: Springer Nature Switzerland, Palgrave Macmillan Jan 2025, 2025
ISBN 10: 3031817796 ISBN 13: 9783031817793
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This comprehensive handbook explores how artificial intelligence is transforming cybersecurity training, with a specific focus on practical implementation strategies for organizations. The book examines AI-driven approaches including personalized learning systems, gamification techniques, and immersive training environments using virtual and augmented reality. It provides detailed guidance on creating adaptive learning programs that respond to individual learner needs while addressing emerging cybersecurity threats.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 144 pp. Englisch.