Systematic Vulnerability Audit of Post-Hoc XAI under Common Corruptions: Analysis Pipeline
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2026
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| _version_ | 1866901668286693376 |
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| author | Kim, Minyeong |
| author_facet | Kim, Minyeong |
| contents | Analysis pipeline and statistical scripts supporting the factorial audit of five post-hoc attribution methods (Integrated Gradients, Grad-CAM, SmoothGrad, GradientSHAP, LIME) under fifteen common corruptions at five severity levels on CIFAR-10-C and CIFAR-100-C, across ResNet-50 and ViT-B/16 classifiers. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19688326 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Systematic Vulnerability Audit of Post-Hoc XAI under Common Corruptions: Analysis Pipeline Kim, Minyeong Explainable Artificial Intelligence Attribution Stability Distribution Shift Common Corruptions Vision Transformer Model-Agnostic Explanation Analysis pipeline and statistical scripts supporting the factorial audit of five post-hoc attribution methods (Integrated Gradients, Grad-CAM, SmoothGrad, GradientSHAP, LIME) under fifteen common corruptions at five severity levels on CIFAR-10-C and CIFAR-100-C, across ResNet-50 and ViT-B/16 classifiers. |
| title | Systematic Vulnerability Audit of Post-Hoc XAI under Common Corruptions: Analysis Pipeline |
| topic | Explainable Artificial Intelligence Attribution Stability Distribution Shift Common Corruptions Vision Transformer Model-Agnostic Explanation |
| url | https://doi.org/10.5281/zenodo.19688326 |