Adversarial AI Attacks, Mitigations, and Defense Strategies: A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps
Adversarial AI Attacks, Mitigations, and Defense Strategies offers cybersecurity professionals a focused guide to AI attacks, threat modeling, mitigation, and defense. It explores how MLSecOps can support the work of securing artificial intelligence systems against evolving threats.
About This Book
Adversarial AI Attacks, Mitigations, and Defense Strategies focuses on the security challenges surrounding artificial intelligence systems.
The book examines AI attacks, threat modeling, and approaches to mitigating adversarial risks.
It also addresses defense strategies for securing AI through MLSecOps practices.
Written for cybersecurity professionals, this guide brings together key concepts for understanding and protecting AI-enabled environments.
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