Adversarial AI Defense

By John Sotiropoulos Packt Publishing 602 pages Published: 2024-01-01
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Publisher Description

As artificial intelligence transitions from experimental technology to critical infrastructure, it introduces a volatile new attack surface. This technical guide deconstructs the mechanics of adversarial AI—including prompt injection, model extraction, and data poisoning—while providing a rigorous framework for implementing MLSecOps. It is an essential roadmap for security professionals tasked with defending the next generation of generative and predictive intelligence.

Match Rate: 10.0/10 (Relevance to core cybersecurity goals)

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