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Robustness
AI Glossary Term
What is Robustness?
Definition
A model's ability to maintain performance under noise, shifts, or adversarial inputs.
Related terms
Red Teaming
Stress-testing an AI system with adversarial prompts to reveal failures and risks.
Benchmark
A standardized test or dataset used to measure and compare model performance.
Data Drift
A shift in real-world input data over time that can degrade model performance.
Diffusion Model
A generative architecture that learns to reverse noise to synthesize images, audio, or other content.
Ensemble
Combining predictions from multiple models to improve robustness or accuracy.
GAN (Generative Adversarial Network)
A generative setup where a generator and discriminator train against each other.
Learn more in our free guides
Adversarial Examples and Robustness
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