An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness

no code implementations • 29 Sep 2021 • Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney, Reginald E. Bryant

To ensure trust in AI models, it is becoming increasingly apparent that evaluation of models must be extended beyond traditional performance metrics, like accuracy, to other dimensions, such as fairness, explainability, adversarial robustness, and distribution shift.

Adversarial Robustness Fairness