Detecting source code vulnerabilities aims to protect software systems from attacks by identifying inherent vulnerabilities. Prior studies often oversimplify the problem into binary classification tasks, which poses challenges for deep learning models to effectively learn diverse vulnerability characteristics. To address this, the following cybersecurity analysts introduced FGVulDet, a fine-grained vulnerability detector that employs multiple classifiers […]
The post FGVulDet – New Vulnerability Detector to Analyze Source Code appeared first on GBHackers on Security | #1 Globally Trusted Cyber Security News Platform.
This article has been indexed from GBHackers on Security | #1 Globally Trusted Cyber Security News Platform