Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Trojan Code: Adversarial Machine Learning and Secure AI Systems

Trojan Code: Adversarial Machine Learning and Secure AI Systems

Kallas, Kassem

Hardcover

General ComputersProbability & StatisticsComputer Security

PREORDER - Expected ship date February 22, 2027

ISBN10: 3032245214
ISBN13: 9783032245212
Publisher: Springer
Published: Feb 22 2027
Pages: 358
Language: English
This book provides a comprehensive and accessible guide to the rapidly growing field of AI security, addressing the threats, vulnerabilities, and defensive strategies that shape modern machine-learning systems. The book examines how adversaries exploit poisoned data, hidden triggers, model theft, and privacy leakage to compromise AI, and explains why securing learning systems requires approaches fundamentally different from traditional cybersecurity. Across four structured parts, it maps the threat landscape, dissects backdoor attacks, develops defensive and game-theoretic frameworks, and introduces robust watermarking methods for protecting AI intellectual property.

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