Search Results for author: Wen-Chuan Lee

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What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors

no code implementations22 Sep 2020 Yi-Shan Lin, Wen-Chuan Lee, Z. Berkay Celik

EXplainable AI (XAI) methods have been proposed to interpret how a deep neural network predicts inputs through model saliency explanations that highlight the parts of the inputs deemed important to arrive a decision at a specific target.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

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