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cs.LG2024
Certified Attribution Robustness via Uniformly Smoothed Attributions
Fan Wang, Adams Wai-Kin Kong
Model attribution is a popular tool to explain the rationales behind model predictions. However, recent work suggests that the attributions are vulnerable to minute perturbations,…
cs.LG2023
A Practical Upper Bound for the Worst-Case Attribution Deviations
Fan Wang, Adams Wai-Kin Kong
Model attribution is a critical component of deep neural networks (DNNs) for its interpretability to complex models. Recent studies bring up attention to the security of attributio…
cs.LG2022★ 5 cited
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
Fan Wang, Adams Wai-Kin Kong
Model attributions are important in deep neural networks as they aid practitioners in understanding the models, but recent studies reveal that attributions can be easily perturbed…