6 citations · 12 across the 4 of their papers we have counts for
4 papers
Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead
Yiran Cheng, Hong Jin Kang, Lwin Khin Shar +4
Fuzz testing is a crucial component of software security assessment, yet its effectiveness heavily relies on valid fuzz drivers and diverse seed inputs. Recent advancements in Larg…
VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM
Yiran Cheng, Ting Zhang, Lwin Khin Shar +6
Open-source software (OSS) has experienced a surge in popularity, attributed to its collaborative development model and cost-effective nature. However, the adoption of specific sof…
Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge
Shouguo Yang, Chaopeng Dong, Yang Xiao +4
The widespread code reuse allows vulnerabilities to proliferate among a vast variety of firmware. There is an urgent need to detect these vulnerable code effectively and efficientl…
CSRS: Code Search with Relevance Matching and Semantic Matching
Yi Cheng, Li Kuang
Developers often search and reuse existing code snippets in the process of software development. Code search aims to retrieve relevant code snippets from a codebase according to na…