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Jo UES

As seen in: PeerJ
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Articles by Jo UES

DAMSE: a dialect-aware multi-strategy ensemble framework for Arabic vishing detection with zero-shot learning

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By Kim JW, Jo UES, Jonathan KN
| PeerJ
Voice phishing, commonly known as vishing, represents a critical cybersecurity threat wherein attackers exploit telephone communications to deceive victims into divulging sensitive information. Attackers typically target financial credentials, personal identification numbers, and authentication codes through carefully orchestrated social engineering campaigns (Uffaith et al., 2022).
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A systematic survey of LLM-based text-to-SQL: methodologies, security vulnerabilities, and future challenges

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By Arnold CM, Lou J-G, Jo UES
| PeerJ
1ICT, FPT University, Hanoi, Hanoi, Vietnam 2Institute of Information Technology, Vietnam Academy of Science and Technology, Hanoi, Hanoi, Vietnam 3University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi, Hanoi, Vietnam DOI 10.7717/peerj-cs.3773 Academic Editor Bilal Alatas Subject Areas Agents and Multi-Agent Systems, Artificial Intelligence Keywords Text-to-SQL, Large language models, Security vulnerabilities, Prompt injection, Systematic survey...
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