5 papers
Feedback-Driven Execution for LLM-Based Binary Analysis
XiangRui Zhang, Qiang Li, Haining Wang
Binary analysis increasingly relies on large language models (LLMs) to perform semantic reasoning over complex program behaviors. However, existing approaches largely adopt a one-p…
Implicit Patterns in LLM-Based Binary Analysis
Qiang Li, XiangRui Zhang, Haining Wang
Binary vulnerability analysis is increasingly performed by LLM-based agents in an iterative, multi-pass manner, with the model as the core decision-maker. However, how such systems…
MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution
Minhua Lin, Zhiwei Zhang, Hanqing Lu +5
Memory-augmented LLM agents maintain external memory banks to support long-horizon interaction, yet most existing systems treat construction, retrieval, and utilization as isolated…
LLMs as Firmware Experts: A Runtime-Grown Tree-of-Agents Framework
Xiangrui Zhang, Zeyu Chen, Haining Wang +1
Large Language Models (LLMs) and their agent systems have recently demonstrated strong potential in automating code reasoning and vulnerability detection. However, when applied to…
Automatically Generating Rules of Malicious Software Packages via Large Language Model
XiangRui Zhang, HaoYu Chen, Yongzhong He +2
Today's security tools predominantly rely on predefined rules crafted by experts, making them poorly adapted to the emergence of software supply chain attacks. To tackle this limit…