On Pitfalls of $\text{RemOve-And-Retrain}$: Data Processing Inequality Perspective

Junhwa Song, Keumgang Cha, Junghoon Seo

The RemOve-And-Retrain (ROAR) benchmark is widely used to evaluate feature attribution methods, yet its validity remains underexplored from an information-theoretic perspective. We…