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What are best practices for AI Model Robustness Testing

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Answer

When working with AI Model Robustness Testing, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.

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

AI Security & Adversarial Attacks topics: Introduction to AI Security Adversarial Examples & Attacks Data Poisoning Attacks