Melissa TESSA
I am a doctoral researcher at SnT, University of Luxembourg. I investigate how to enable large language models to generate secure code . My work sits at the intersection of AI, software engineering, and cybersecurity.
Session
05-08
13:40
5min
How Secure is Secure Code Generation? Putting the LLMs to the Test
Melissa TESSA
Large Language Models are increasingly used to assist developers in writing code, but how secure is the code they generate? This lightning talk explores the security risks introduced by LLM-generated code, from common vulnerability patterns to the challenges of evaluating and improving model outputs. Drawing from ongoing PhD research at TruX, SnT (University of Luxembourg), this talk offers a concise overview of the current landscape and open research questions in LLM-assisted secure software development.
Main Stage