Multilingual Source Code Vulnerability Detection Using Deep Learning: A Semantic Representation and Transfer Learning Approach
This work presents a deep learning approach for multilingual vulnerability detection that emphasizes semantic transfer rather than architectural complexity and suggests that stabilizing semantic representations during transfer is key to improving generalization while maintaining practical efficiency under moderate comp...