Binary code similarityapproaches compare two or more pieces of binary code to identify their
similarities and differences. The ability to compare binary code enables many real-world …

Context: Previous studies have shown that existing deep learning-based approaches can
significantly improve the performance of vulnerability detection. They represent code in …

Over the past decade, Open Source Software (OSS) has experienced rapid growth and
widespread adoption, attributed to its openness and editability. However, this expansion has …

Binary code similarity detection (BCSD) serves as a basis for a wide spectrum of
applications, including software plagiarism, malware classification, and known vulnerability …

With the rapid growth of software, using third-party libraries (TPLs) has become increasingly
popular. The prosperity of the library usage has provided the software engineers with a …

Static detection of security vulnerabilities in binary programs is an important research field in
software supply chain security. However, existing vulnerability detection methods based on …

Security patches play an important role in defending against the security threats brought by
the increasing OSS vulnerabilities. However, the collection of security patches still remains a …

The number of new vulnerabilities continues to rise significantly each year. Simultaneously,
vulnerability databases have challenges in promptly sharing new security events with …

Third-party libraries (TPLs) are widely utilized by Android developers to implement new
apps. Unfortunately, TPLs are often suffering from various vulnerabilities, which could be …

Recent research shows that, even for vulnerability reports archived by MITRE/NIST, they
usually contain incomplete information about the software's vulnerable versions, making …