Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis

Zhipeng He, Chun Ouyang, Laith Alzubaidi +2

Adversarial attacks are a potential threat to machine learning models by causing incorrect predictions through imperceptible perturbations to the input data. While these attacks ha…