Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

Software Vulnerabilities (SVs) are increasing in complexity and scale, posing great security
risks to many software systems. Given the limited resources in practice, SV assessment and …

Ensuring security for modern IoT systems requires the use of complex methods to analyze
their software. One of the most in-demand methods that has repeatedly been proven to be …

Deep learning-based vulnerability prediction approaches are proposed to help under-
resourced security practitioners to detect vulnerable functions. However, security …

Abstract Many Machine Learning (ML)-based approaches have been proposed to
automatically detect, localize, and repair software vulnerabilities. While ML-based methods …

We consider the problem of automating the mapping of observed vulnerabilities in software
listed in Common Vulnerabilities and Exposures (CVE) reports to weaknesses listed in …

Identifying security patches via code commits to allow early warnings and timely fixes for
Open Source Software (OSS) has received increasing attention. However, the existing …

Security vulnerabilities are increasingly prevalent in modern software and they are widely
consequential to our society. Various approaches to defending against these vulnerabilities …

Context: The dramatically increasing number of vulnerabilities makes manual vulnerability
analysis increasingly more difficult. Automatic extraction of vulnerability information can help …

Security databases such as Common Vulnerabilities and Exposures (CVE), Common
Weakness Enumeration (CWE), and Common Attack Pattern Enumeration and Classification …