Involved in several research projects, such as evaluating and mitigating attacks on large language models in code generation through training dataset poisoning, malicious fine-tuning, or adversarial pre-prompting, and defining vulnerabilities in LLMs and developing guidelines for characterizing, disclosing, and mitigating them.
Research Experience
Previously a lecturer and researcher at HEVS, postdoctoral researcher at the Distributed Computing Lab at EPFL, and recipient of the 'Distinguished Cyber-Defence (CYD) Postdoctoral Fellowship' from Cyber-Defence Campus, armasuisse S+T. Has been working in machine learning since 2013, generative ML since 2018, and the intersection of generative ML and cybersecurity since 2020.
Education
PhD from Paris Sorbonne University, with research conducted at Johns Hopkins University and Stowers Institute for Medical Research; Engineer degree from Ecole Polytechnique.
Background
Research interests include applied machine learning, large language models, generative ML, cybersecurity, data science, image processing and analysis, computational systems biology. Currently an Assistant Professor at HES-SO Valais-Wallis and co-founder of the GenLearning Center, focusing on the safety and deployment issues of generative AI technologies.