Robustness in AI Models

Robustness encompasses various properties including stability against input perturbations generalization to new scenarios and resilience against adversarial attacks. It involves techniques like regularization data augmentation and architectural choices that promote stable and reliable model behavior across different conditions.

Autonomous vehicle perception Medical image analysis Financial risk assessment Industrial control systems