RESEARCHER IN ADVERSARIAL MACHINE LEARNING IN CYBERSECURITY

RESEARCHER IN ADVERSARIAL MACHINE LEARNING IN CYBERSECURITY Luxembourg Institute of Science and Technology (LIST), Luxembourg As a key member of the project, you will be responsible for a range of critical tasks that will shape the project’s success: (1) Adversarial attack development: you will design and implement problem-space adversarial attacks against LLM-based vulnerability detection systems. (2) Robustness evaluation framework: you will develop comprehensive assessment methodologies to quantify the weaknesses and limitations of LLMs in software vulnerability detection. (3) Explainable detection pipeline: you will investigate and document the mechanisms through which LLMs identify software vulnerabilities, creating an interpretable detection framework that provides insights into model decision-making processes. (4) Human-in-the-loop system design: you will develop innovative approaches for integrating human expertise with LLM capabilities, including alignment techniques for human...