3 papers
cs.SE2025
Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
Yiran Cheng, Ting Zhang, Lwin Khin Shar +6
Open source software vulnerabilities pose significant security risks to downstream applications. While vulnerability databases provide valuable information for mitigation, many sec…
cs.SE2025
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…
cs.CR2025
RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models
Peizhuo Lv, Mengjie Sun, Hao Wang +5
In recent years, tremendous success has been witnessed in Retrieval-Augmented Generation (RAG), widely used to enhance Large Language Models (LLMs) in domain-specific, knowledge-in…