Explainable AI for Intrusion Detection Systems: LIME and SHAP Applicability on Multi-Layer Perceptron

Machine learning-based systems have presented increasing learning performance, in a wide variety of tasks. However, the problem with some state-of-the-art models is their lack of transparency, trustworthiness, and explainability. To address this problem, eXplainable Artificial Intelligence (XAI) app...

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Autors principals:	Diogo Gaspar, Paulo Silva, Catarina Silva
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Artificial intelligence explainability intrusion detection system local interpretable model-agnostic explanations machine learning shapley additive explanations
Accés en línia:	https://ieeexplore.ieee.org/document/10440604/
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