Adversarial AI Threat Response and Secure Model Design

Idioma: inglés

Editorial: APRESS L.P. Mai 2026, 2026

9798868823077

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Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, AlemaniaRheinberg-Buch Andreas Meier eK

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Vendedor de IberLibro desde 17 de noviembre de 2008

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EUR 64,19

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Neuware -As artificial intelligence becomes embedded in everything from healthcare diagnostics to financial systems and autonomous vehicles, the stakes for AI security have never been higher.Adversarial AI Threat Response and Secure Model Designis your essential guide to understanding, defending against, and designing resilient machine learning systems in the face of growing adversarial threats.Written by a leading expert in AI security and policy, this book delivers a combination of technical depth, practical implementation, and strategic insight. It begins by mapping the full landscape of adversarial threats evasion, poisoning, model extraction, backdoors, and more across diverse data modalities and real-world applications. From there, it equips readers with a robust toolkit of detection and defense techniques, including adversarial training, anomaly detection, and formal robustness certification.But this book goes beyond code. It explores the organizational, ethical, and regulatory dimensions of AI security, offering guidance on risk quantification, explainability, and compliance with frameworks like the EU AI Act. With hands-on projects, open-source tools, and case studies in high-stakes domains, readers will learn to design secure-by-default systems that are not only technically sound but socially responsible.Whether you're an AI engineer deploying models in production, a cybersecurity professional defending intelligent systems, or an educator preparing the next generation of AI talent, this book provides the clarity, rigor, and foresight needed to stay ahead of adversarial threats. It s not just a reference it s a roadmap for building trustworthy AI. What You Will Learn:Understand the full spectrum of adversarial threats to AI systems, including evasion, poisoning, backdoor injection, and model extraction, across vision, language, and multimodal applications.Apply practical detection and defense techniques using real tools and code, including adversarial training, statistical anomaly detection, input preprocessing, and ensemble defenses.Evaluate and balance trade-offs between accuracy, robustness, performance, and interpretability in the design of secure machine learning systems.Navigate the regulatory, ethical, and risk management challenges associated with adversarial AI, including disclosure practices, auditability, and compliance with emerging AI laws.Design, implement, and test secure-by-design AI solutions through hands-on projects and real-world case studies that span sectors such as healthcare, finance, and autonomous systems.Who This Book is for:Written for technical professionals and researchers who are building, deploying, or securing machine learning systems in real-world environments. The primary audience includes machine learning engineers, AI developers, cybersecurity professionals, and graduate-level students in computer science, data science, and applied AI programs. It is also relevant for technical leads, architects, and academic instructors designing secure AI curricula or systems in regulated or high-stakes domains. 541 pp. Englisch.…

N° de ref. del artículo 9798868823077

Título
Adversarial AI Threat Response and Secure Model Design
Autor
Goran Trajkovski
Editorial
APRESS L.P. Mai 2026
Año de publicación
2026
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 13
9798868823077
Peso del artículo
867 gramos
Dimensiones
235x155x32 mm

Rheinberg-Buch Andreas Meier eK

Bergisch Gladbach, Alemania

Vendedor de 5 estrellas

Vendedor de IberLibro desde 17 de noviembre de 2008

Tarifas de envío de Alemania a Estados Unidos de America

ArtículoDe 5 a 15 días hábilesDe 2 a 4 días hábiles
Primer artículoEUR 23,00EUR 35,99
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Rheinberg-Buch Andreas Meier eK

Alemania

Rheinberg-Buch Inh. Andreas Meier e.K.
Inhaber: Andreas Meier
De-Gasperi-Str. 8
51469 Bergisch Gladbach
Deutschland

Tel.: +4922049671181
Fax: +4922049671189
E-Mail: info@rheinberg-buch.de

Registergericht: Amtsgericht Köln
Registernummer: HRA 26456

Umsatzsteuer-Identifikationsnummer: DE122062682

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