5 citations · 8 across the 4 of their papers we have counts for
4 papers
CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
Hanxiang Xu, Wei Ma, Ting Zhou +5
In recent years, the programming capabilities of large language models (LLMs) have garnered significant attention. Fuzz testing, a highly effective technique, plays a key role in e…
PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
Zhihao Lin, Wei Ma, Mingyi Zhou +5
In recent years, Large Language Models (LLMs) have gained widespread use, raising concerns about their security. Traditional jailbreak attacks, which often rely on the model intern…
Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
Zhihao Lin, Wei Ma, Tao Lin +7
Large Language Models (LLMs) have become instrumental in advancing software engineering (SE) tasks, showcasing their efficacy in code understanding and beyond. Like traditional SE…
SoK: Comprehensive Analysis of Rug Pull Causes, Datasets, and Detection Tools in DeFi
Dianxiang Sun, Wei Ma, Liming Nie +1
Rug pulls pose a grave threat to the cryptocurrency ecosystem, leading to substantial financial loss and undermining trust in decentralized finance (DeFi) projects. With the emerge…