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Julien Ferry

2 accepted papers

2025

From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks

NeurIPS 2025spotlight

The advent of Machine Learning as a Service (MLaaS) has heightened the trade-off between model explainability and security. In particular, explainability techniques, such as counterfactual explanations, inadvertently increase the risk of model extraction attacks, enabling unauthorized replication of…

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2024

Trained Random Forests Completely Reveal your Dataset

ICML 2024oral

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 scikit-learn. To achieve this, we…