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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…

Cited by 0SourcecodeScholar
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…