Adversarial Robustness
The ability of an AI model to maintain correct performance when subjected to adversarial attacks or intentionally crafted malicious inputs.
In plain language
How well an AI holds up against tricks and attacks. A robust model won't be easily fooled by small changes to inputs that wouldn't confuse a human.
Why this matters
Robustness against adversarial attacks should be a requirement in your AI governance standards. AI systems deployed in critical applications must be tested for adversarial resilience before and after deployment.
Relevance
GovernanceRobustness is a standard your governance framework should set and verify. It defines the level of resilience a system must prove before and after it goes live.
Related terms
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