23rd of April at 16h00, Roberta De Luca (UNINA) will give a presentation entitled“Enhancing Trustworthiness of AI Code Generators”
Location: G4.1
Abstract
AI-powered code generation tools are rapidly transforming software development, but they can also introduce critical security vulnerabilities. In this talk, I will present DeVAIC, a framework for detecting and patching vulnerabilities in AI-generated code. I will discuss our findings on the flaws introduced by Large Language Models (LLMs), and share insights into how automated techniques can enhance the reliability and security of generated code. The goal is to make AI-assisted programming more trustworthy and secure.
Bio
Roberta De Luca is a PhD student in Information Technologies and Electrical Engineering (ITEE) and a member of the Dependable and Secure Software Engineering and Real-Time Systems (DESSERT) group at the University of Naples Federico II. Her research focuses on enhancing the trustworthiness, robustness, and security of AI-generated code, investigating techniques to mitigate vulnerabilities introduced by automated code generation tools.She has experience in static analysis, vulnerability detection, and secure software development. As part of her PhD work, she explores methods to improve the reliability of code generators by integrating security-aware mechanisms, reducing the likelihood of introducing exploitable flaws in AI-assisted programming environments
