Julien Ferry

Trained Random Forests Completely Reveal your Dataset

2024 · PolyPublie (École Polytechnique de Montréal)

We introduce an optimization-based reconstruction attack capable of completely or near-completely reconstructing a dataset utilized for training a random forest. Notably, our approach relies solely on information readily available in commonly used libraries such as …

Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning

2025 · Computational Intelligence

ABSTRACT Machine learning techniques are increasingly used for high‐stakes decision‐making, such as college admissions, loan attribution, or recidivism prediction. Thus, it is crucial to ensure that the models learnt can be audited or understood by …