Definition
The ability of an AI model to maintain a high and reliable level of performance even when faced with noisy, perturbed, or adversarial inputs that deviate from the training data.
In short: The ability of an AI model to maintain a high and reliable level of performance even when faced with noisy, perturbed, or adversarial inputs that deviate from the training data.