VulMCI : Code Splicing-based Pixel-row Oversampling for More Continuous Vulnerability Image Generation

arXiv:2402.18189v1 Announce Type: new
Abstract: In recent years, the rapid development of deep learning technology has brought new prospects to the field of vulnerability detection. Many vulnerability detection methods involve converting source code into images for detection, yet they often overlook the quality of the generated images. Due to the fact that vulnerability images lack clear and continuous contours, unlike images used in object detection, Convolutional Neural Networks (CNNs) tend to lose semantic information during the convolution and pooling processes. …

arxiv code continuous cs.cr deep learning detection development generated image image generation images pixel quality rapid source code technology vulnerability vulnerability detection