Contexte et atouts du poste

Within the framework of the ANR PRCI project SecLLM4SVD (Secured Large Language Models in Reliable Software Vulnerability Detection), Principal Investigator: Dr. Yufei Han.

Mission confiée

Context and Motivation:

Large Language Models (LLMs) have demonstrated remarkable capabilities in automating the detection of software vulnerabilities (SVD) due to their ability to process both natural and programming languages. However, a critical reliability concern with state-of-the-art LLMs is their susceptibility to adversarial attacks. Subtle, problem-space modifications to source code—such as variable renaming or dead code insertion—can mislead the model without changing the code's main functionality or underlying vulnerabilities. Furthermore, the opaque, black-box nature of LLMs makes it difficult to understand whether they truly grasp code semantics or simply recognize...