Papers by Heedou Kim

2 papers
VishBox v2: A Multi-Agent System for Adaptive Voice Phishing Simulation (2026.acl-industry)

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Challenge: Existing alternatives lack round-level granularity and controllability, making it difficult to analyze how victim profiles and psychological states shape tactic effectiveness.
Approach: They propose a multi-agent architecture that generates structured phishing simulations grounded in crime-script procedures and persuasion principles.
Outcome: The proposed framework captures tactic concentration, vulnerability transitions, and web-search-induced procedural disruptions across 571 rounds.
SCRIPTMIND: Crime Script Inference and Cognitive Evaluation for LLM-based Social Engineering Scam Detection System (2026.eacl-industry)

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Challenge: Large Language Models (LLMs) have shown promise in identifying deception, but their cognitive assistance potential remains underexplored.
Approach: They propose a framework for LLM-based scam detection that bridges automated reasoning and human cognition.
Outcome: The proposed framework outperforms GPT-4o in the Korean scam detection and phone scam simulations.

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