Enhanced Voice Phishing Detection Using an LLM-Based Framework for Data Augmentation and Classification
Existing voice phishing detection models based on call transcripts often suffer from limited generalizability due to insufficient scenario diversity and the absence of ambiguous samples in data. To address these challenges, we propose an integrated framework that leverages GPT-4o, a large language m...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2025-01-01
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| Seri Bilgileri: | IEEE Access |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/11142247/ |
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