D. H. Smith

Spatial Attention Noise Masking for Causally Sufficient Interpretability

Quantitative evaluations demonstrate mask faithfulness, near-baseline classification performance across five classification tasks despite substantial masking of image information, and robustness to distribution shifts such as background swapping and natural adversarial examples.