Papers by Daehee Han
KorSmishing Explainer: A Korean-centric LLM-based Framework for Smishing Detection and Explanation Generation (2024.emnlp-industry)
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| Challenge: | Existing models that detect smishing have a high accuracy but lack interpretability, which undermines user trust and practical applicability. |
| Approach: | They propose an explainable smishing detection framework that adapts to a Korean-centric large language model for sys-phishing detection. |
| Outcome: | The proposed framework achieves 15% improvement in accuracy over existing models and produces high-quality explanatory text. |