most citedWhen LLMs Go Online: The Emerging Threat of Web-Enabled LLMs

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

SCRIPTIOC-BENCH: A Benchmark for Recognizing Actionable Threat Intelligence from Script-Based Malware using LLMs

Hanna Kim, Jian Cui, Minkyoo Song +4

Script-based malware remains a prevalent attack technique. These scripts often contain indicators of compromise (IOCs) that provide actionable threat intelligence. However, statica…

cs.AI2026

ARGORA: Orchestrated Argumentation for Causally Grounded LLM Reasoning and Decision Making

Youngjin Jin, Hanna Kim, Kwanwoo Kim +2

Existing multi-expert LLM systems gather diverse perspectives but combine them through simple aggregation, obscuring which arguments drove the final decision. We introduce ARGORA,…

cs.CR2024★ 3 cited

When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs

Hanna Kim, Minkyoo Song, Seung Ho Na +2

Recent advancements in Large Language Models (LLMs) have established them as agentic systems capable of planning and interacting with various tools. These LLM agents are often pair…

cs.CL2024

Claim-Guided Textual Backdoor Attack for Practical Applications

Minkyoo Song, Hanna Kim, Jaehan Kim +2

Recent advances in natural language processing and the increased use of large language models have exposed new security vulnerabilities, such as backdoor attacks. Previous backdoor…

cs.CR2024★ 1 cited

Tweezers: A Framework for Security Event Detection via Event Attribution-centric Tweet Embedding

Jian Cui, Hanna Kim, Eugene Jang +6

Twitter is recognized as a crucial platform for the dissemination and gathering of Cyber Threat Intelligence (CTI). Its capability to provide real-time, actionable intelligence mak…