The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …

In recent years, Large Language Models (LLMs) have achieved remarkable success and
have been widely used in various downstream tasks, especially in the tasks of the software …

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 …

The healthcare industry is currently experiencing an unprecedented wave of cybersecurity
attacks, impacting millions of individuals. With the discovery of thousands of vulnerabilities …

Software supply chain security is a critical aspect of modern computer security, with
vulnerabilities being a significant threats. Identifying and patching these vulnerabilities …

Software vulnerabilities continue to be ubiquitous, even in the era of AI-powered code
assistants, advanced static analysis tools, and the adoption of extensive testing frameworks …

Software vulnerabilities pose significant risks to the security and integrity of software
systems. Prior studies have proposed a series of approaches to vulnerability detection using …

Automated source code refactoring, particularly extract method refactoring, is a crucial and
frequently employed technique during software development. Despite its importance and …

Large Language Models (LLMs) are emerging as transformative tools for software
vulnerability detection, addressing critical challenges in the security domain. Traditional …