collaborators

5 papers

cs.LG2026

Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks

Valentin Lafargue, Adriana Laurindo Monteiro, Emmanuelle Claeys +2

The rapid deployment of AI systems in high-stakes domains, including those classified as high-risk under the The EU AI Act (Regulation (EU) 2024/1689), has intensified the need for…

cs.LG2026

Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making

Emmanuelle Claeys, Elena Kerjean, Jean-Michel Loubes

This work introduces MAYA, a sequential imitation learning model based on multi-armed bandits, designed to reproduce and predict individual bees' decisions in contextualized foragi…

cs.CL2026

Probing Cultural Signals in Large Language Models through Author Profiling

Valentin Lafargue, Ariel Guerra-Adames, Emmanuelle Claeys +2

Large language models (LLMs) are increasingly deployed in applications with societal impact, raising concerns about the cultural biases they encode. We probe these representations…

stat.AP2025

Fairness is in the details: Face Dataset Auditing

Valentin Lafargue, Emmanuelle Claeys, Jean-Michel Loubes

Auditing involves verifying the proper implementation of a given policy. As such, auditing is essential for ensuring compliance with the principles of fairness, equity, and transpa…

cs.LG2025

Generating Heterogeneous Multi-dimensional Data : A Comparative Study

Michael Corbeau, Emmanuelle Claeys, Mathieu Serrurier +1

Allocation of personnel and material resources is highly sensible in the case of firefighter interventions. This allocation relies on simulations to experiment with various scenari…