Adversarial AI Defense

Protecting AI and machine learning systems against adversarial attacks, data poisoning, model extraction, and prompt injection.

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Why It Matters

As organizations deploy more AI systems, adversarial attacks become a critical threat vector; defenders who understand both AI internals and attack techniques are essential for trustworthy AI deployment.

How to Get Started

Study the MITRE ATLAS framework for adversarial ML threats, complete NVIDIA's AI Red Teaming course, and practice with tools like IBM Adversarial Robustness Toolbox (ART) on sample models.

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