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Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
lnbressa
Author: Hubert Baniecki, Przemyslaw Biecek; Publisher: Proceedings of the AAAI Conference on Artificial Intelligence; Publication Year: 2022. The following article discusses how Shapley Additive Explanations (SHAP) values are a popular metric for identifying variable importance for black-box machine learning models. This paper demonstrates that despite it’s popularity, the SHAP values can be manipulated using a…
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