A Meaningful Perturbation Metric for Evaluating Explainability Methods

Danielle Cohen, Hila Chefer, Lior Wolf

Deep neural networks (DNNs) have demonstrated remarkable success, yet their wide adoption is often hindered by their opaque decision-making. To address this, attribution methods ha…