Adversarial AI Threat Response and Secure Model Design

Lingua: inglese

Editore: Apress Mai 2026, 2026

9798868823077

Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh

Venditore con 4 stelle

Venditore AbeBooks dal 13 marzo 2026

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EUR 87,88

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Spedito da Germania a U.S.A.

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Descrizione dell’articolo da parte del venditore

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 Design is 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. 580 pp. Englisch.

Codice articolo 9798868823077

Titolo
Adversarial AI Threat Response and Secure Model Design
Autore
Goran Trajkovski
Editore
Apress Mai 2026
Anno di pubblicazione
2026
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 13
9798868823077
Peso dell'articolo
867 grammi
Dimensioni
235x155x32 mm

Books-by-Floh

Paderborn, Germania

Venditore con 4 stelle

Venditore AbeBooks dal 13 marzo 2026

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
Primo articoloEUR 105,00EUR 130,00
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