Explanations can be manipulated and geometry is to blame

Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders +3

Explanation methods aim to make neural networks more trustworthy and interpretable. In this paper, we demonstrate a property of explanation methods which is disconcerting for both…