Adversarial AI

Adversarial AI: Attacks, Defenses, and the Future of Intelligent Systems delivers a comprehensive and rigorous exploration of adversarial attacks—subtle, often imperceptible manipulations capable of deceiving even the most advanced machine learning models. From early statistical classifiers to deep neural networks and transformer architectures, this book traces the historical evolution of adversarial machine learning and exposes the mathematical fragility embedded within modern AI systems.

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