6 papers · 1 filter
Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation
Li Hu, Xiuwei Shang, Jieke Shi +6
Deobfuscating binary code remains a fundamental challenge in reverse engineering, as obfuscation is widely used to hinder analysis and conceal program logic. Although large languag…
Cross-modal Retrieval Models for Stripped Binary Analysis
Guoqiang Chen, Lingyun Ying, Ziyang Song +7
Retrieving binary code via natural language queries is a pivotal capability for downstream tasks in the software security domain, such as vulnerability detection and malware analys…
BinMetric: A Comprehensive Binary Analysis Benchmark for Large Language Models
Xiuwei Shang, Guoqiang Chen, Shaoyin Cheng +5
Binary analysis remains pivotal in software security, offering insights into compiled programs without source code access. As large language models (LLMs) continue to excel in dive…
CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System
Li Hu, Guoqiang Chen, Xiuwei Shang +6
With open-source projects growing in size and complexity, manual compilation becomes tedious and error-prone, highlighting the need for automation to improve efficiency and accurac…
An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
Xiuwei Shang, Zhenkan Fu, Shaoyin Cheng +5
Binary code analysis plays a pivotal role in the field of software security and is widely used in tasks such as software maintenance, malware detection, software vulnerability disc…
Binary Code Similarity Detection via Graph Contrastive Learning on Intermediate Representations
Xiuwei Shang, Li Hu, Shaoyin Cheng +4
Binary Code Similarity Detection (BCSD) plays a crucial role in numerous fields, including vulnerability detection, malware analysis, and code reuse identification. As IoT devices…