AI Robustness: Evaluating ML Models Under Real-World Uncertainty
Artificial Intelligence and Machine Learning have permeated industries ranging from healthcare to finance, automating critical decision-making processes. However, real-world environments introduce uncertainties, data distribution shifts, adversarial attacks, and noisy inputs that challenge the reliability of AI models. Ensuring AI robustness, …