Adversarial machine learning studies attacks that manipulate models through crafted inputs, poisoning, or extraction—and defenses against them.
AI Glossary
Adversarial Machine Learning
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Adversarial machine learning studies attacks that manipulate models through crafted inputs, poisoning, or extraction—and defenses against them.
Definition
Plain English explanation
The cat-and-mouse game of tricking models and hardening them against those tricks.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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