Sang-Joon Lee

An Explainable and Verifiable Intrusion Detection Framework for IoMT: Triple-Validation With Confounding Variable Analysis and Grade-Based Alert Monitoring

Intrusion detection systems for the Internet of Medical Things (IoMT) increasingly rely on explainable artificial intelligence (XAI) to justify their predictions. Yet techniques such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) can present features as important that...