Hila Chefer

A Meaningful Perturbation Metric for Evaluating Explainability Methods

2025 · arXiv (Cornell University)

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 have been proposed to assign relevance values to each part of …