Code Processing

Code processing research focuses on using machine learning, particularly large language models (LLMs) and transformer-based architectures, to automate tasks related to software development and security. Current efforts concentrate on improving model accuracy in vulnerability detection, enhancing the robustness of these models against adversarial attacks (like data poisoning), and better understanding how these models learn and represent code structure. This field is significant because improved code processing techniques can lead to more secure and efficient software development, impacting both the software engineering community and the broader technological landscape.