3 papers
cs.SE2026
Binary Decompilation LLM with Feedback-Driven Multi-Turn Refinement
Peipei Liu, Jian Sun, Mingzhe Xing +5
Binary decompilation is fundamental to security tasks such as vulnerability discovery, malware inspection, and executable-only program understanding. Recent LLM-based decompilation…
cs.SE2025
The CodeInverter Suite: Structure- and Data-Aware Binary Decompilation with Efficient LLMs
Peipei Liu, Jian Sun, Rongkang Sun +7
Binary decompilation plays a vital role in various cybersecurity and software engineering tasks. Recently, end-to-end decompilation methods powered by large language models (LLMs)…
cs.CR2025
The Digital Cybersecurity Expert: How Far Have We Come?
Dawei Wang, Geng Zhou, Xianglong Li +5
The increasing deployment of large language models (LLMs) in the cybersecurity domain underscores the need for effective model selection and evaluation. However, traditional evalua…