Assessing Robustness of Machine Learning Models using Covariate
Perturbations
Assessing Robustness of Machine Learning Models using Covariate
Perturbations
As machine learning models become increasingly prevalent in critical decision-making models and systems in fields like finance, healthcare, etc., ensuring their robustness against adversarial attacks and changes in the input data is paramount, especially in cases where models potentially overfit. This paper proposes a comprehensive framework for assessing the robustness …