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Timothée Pascal

1 accepted papers

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…