Abstract: In recent years, large language models (LLMs) based on the Transformer architecture have demonstrated excellent performance in code generation, but there have been fewer studies on data flow ...
Abstract: Machine learning has emerged as a promising method for detecting code vulnerabilities. In existing research, models trained on available samples are applied to predict potential ...