MVD
Sicong Cao, Xiaobing Sun, Lili Bo, Rongxin Wu, Bin Li, Chuanqi Tao
2022Proceedings of the 44th International Conference on Software Engineering101 citationsDOIOpen Access PDF
Abstract
Memory-related vulnerabilities constitute severe threats to the security of modern software. Despite the success of deep learning-based approaches to generic vulnerability detection, they are still limited by the underutilization of flow information when applied for detecting memory-related vulnerabilities, leading to high false positives.
Topics & Concepts
Computer scienceFalse positive paradoxVulnerability (computing)Computer securitySecure codingInformation securityArtificial intelligenceSoftware security assuranceSecurity serviceSecurity and Verification in ComputingAdvanced Malware Detection TechniquesAdversarial Robustness in Machine Learning