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AI Security & Adversarial Attacks › AI Model Robustness Testing

What is AI Model Robustness Testing

Beginner

Answer

AI model robustness testing checks how well a model continues to perform correctly when faced with unusual, noisy, or intentionally tricky inputs.
Real-world example A team performs robustness testing on their voice assistant by testing it with background noise and unusual accents.

Common follow-ups: What is AI Security & Adversarial Attacks, How is AI Model Robustness Testing evaluated in practice, What tools are commonly used for AI Model Robustness Testing