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cs.CR2025
AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents
Haitao Hu, Peng Chen, Yanpeng Zhao +1
Large Language Models (LLMs) have been increasingly integrated into computer-use agents, which can autonomously operate tools on a user's computer to accomplish complex tasks. Howe…
cs.SE2025
Cottontail: Large Language Model-Driven Concolic Execution for Highly Structured Test Input Generation
Haoxin Tu, Seongmin Lee, Yuxian Li +3
How can we perform concolic execution to generate highly structured test inputs for systematically testing parsing programs? Existing concolic execution engines are significantly r…
cs.SE2025
ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction Tuning
Xinyi Wang, Jiashui Wang, Jinbo Su +9
Assembly code analysis and comprehension play critical roles in applications like reverse engineering, yet they face substantial challenges due to low information density and a lac…