Context Software vulnerability detection is essential to ensure cybersecurity. Currently, most
software is published in binary form, thus researchers can only detect vulnerabilities in these …

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 …

Software vulnerabilities have been posing tremendous reliability threats to the general
public as well as critical infrastructures, and there have been many studies aiming to detect …

Internet of Things (IoT) integrates a variety of software (eg, autonomous vehicles and military
systems) in order to enable the advanced and intelligent services. These software increase …

In spite of their effectiveness in the context of vulnerability discovery, current state-of-the-art
binary program analysis approaches are limited by inherent trade-offs between accuracy …

Fine-grained software vulnerability detection is an important and challenging problem.
Ideally, a detection system (or detector) not only should be able to detect whether or not a …

Deep learning has shown effectiveness in binary software vulnerability detection due to its
outstanding feature extraction capability independent of human expert experience …

Identifying potentially vulnerable locations in a code base is critical as a pre-step for effective
vulnerability assessment; ie, it can greatly help security experts put their time and effort to …

During software development and maintenance, vulnerability detection is an essential part
of software quality assurance. Even though many program-analysis-based and machine …

The automatic detection of software vulnerability is undoubtedly an important research
problem. However, existing solutions heavily rely on human experts to extract features and …