Alteration of an input image to provide an interpretability of a trained classifier. The altered image may be determined by optimizing at least: a classification score of the altered image to reduce a distance between a classification of the altered image and a target classification, and a similarity score to reduce a distance between an average filter activation difference and a measure for a difference in filter activations between the input image and the altered image.