AI Ethics & Safety
Robustness
A model’s ability to maintain performance under distribution shifts, adversarial attacks, or noisy inputs.
Related Concepts
- Adversarial Attack: Explore how Adversarial Attack relates to Robustness
- Generalization: Explore how Generalization relates to Robustness
- Out-of-Distribution: Explore how Out-of-Distribution relates to Robustness
Why It Matters
Understanding Robustness is crucial for anyone working with ai ethics & safety. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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ai-ethics-safety adversarial-attack generalization out-of-distribution