Zeng, Ming

Provable Robust Saliency-based Explanations

2022 · arXiv (Cornell University)

To foster trust in machine learning models, explanations must be faithful and stable for consistent insights. Existing relevant works rely on the $\ell_p$ distance for stability assessment, which diverges from human perception. Besides, existing adversarial …