1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CR2024
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?
Di Cao, Yong Liao, Xiuwei Shang
The latest advancements in large language models (LLMs) have sparked interest in their potential for software vulnerability detection. However, there is currently a lack of researc…
cs.CR2024★ 1 cited
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection
Shigang Liu, Di Cao, Junae Kim +5
Recently, deep learning has demonstrated promising results in enhancing the accuracy of vulnerability detection and identifying vulnerabilities in software. However, these techniqu…