Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network

Although FG has shown reasonable performance for the given input, as the shortage of the global property, FG is vulnerable to the small perturbation, while IG which includes the exploration over the input space is robust.