DetectBERT: Code Vulnerability Detection

DetectBERT is a deep learning approach for identifying vulnerabilities in source code at the statement level. Utilizing transformer encoder models extracts features and learns complex relationships without predefined graph structures. DetectBERT addresses data distribution challenges using real-world code and normalizing user-defined names. Demonstrated effectiveness in Python using public datasets like CVEFixes and VUDENC, DetectBERT offers scalable, robust, and granular vulnerability detection.