Graph-based methods coupled with specific distributional distances for adversarial attack detection

Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod +2

Artificial neural networks are prone to being fooled by carefully perturbed inputs which cause an egregious misclassification. These \textit{adversarial} attacks have been the focu…