21 citations · 46 across the 12 of their papers we have counts for
5 papers · 1 filter
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
Yao Li, Sen Fang, Tao Zhang +1
With the rise of large language models, such as ChatGPT, non-decisional models have been applied to various tasks. Moreover, ChatGPT has drawn attention to the traditional decision…
APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
Yu Nong, Haoran Yang, Long Cheng +2
Timely and effective vulnerability patching is essential for cybersecurity defense, for which various approaches have been proposed yet still struggle to generate valid and correct…
VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
Seyed Shayan Daneshvar, Yu Nong, Xu Yang +2
Detecting vulnerabilities is vital for software security, yet deep learning-based vulnerability detectors (DLVD) face a data shortage, which limits their effectiveness. Data augmen…
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
Haolin Jin, Linghan Huang, Haipeng Cai +3
With the rise of large language models (LLMs), researchers are increasingly exploring their applications in var ious vertical domains, such as software engineering. LLMs have achie…
Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities
Yu Nong, Mohammed Aldeen, Long Cheng +3
Security vulnerabilities are increasingly prevalent in modern software and they are widely consequential to our society. Various approaches to defending against these vulnerabiliti…