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Publisher Description

As machine learning becomes the backbone of critical infrastructure and automated defense, the gap between mathematical optimization and human intent represents a critical vulnerability. This book explores the technical and ethical friction points of AI development, offering indispensable insights for security engineers and researchers tasked with securing autonomous systems against unintended behaviors and adversarial exploitation.