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Trained Random Forests Completely Reveal your Dataset

Trained Random Forests Completely Reveal your Dataset

29 February 2024
Julien Ferry
Ricardo Fukasawa
Timothée Pascal
Thibaut Vidal
    AAML
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Papers citing "Trained Random Forests Completely Reveal your Dataset"

4 / 4 papers shown
Title
LHT: Statistically-Driven Oblique Decision Trees for Interpretable Classification
LHT: Statistically-Driven Oblique Decision Trees for Interpretable Classification
Hongyi Li
Jun Xu
William Ward Armstrong
14
0
0
07 May 2025
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Awa Khouna
Julien Ferry
Thibaut Vidal
AAML
39
0
0
07 Feb 2025
Training Set Reconstruction from Differentially Private Forests: How Effective is DP?
Training Set Reconstruction from Differentially Private Forests: How Effective is DP?
Alice Gorgé
Julien Ferry
Sébastien Gambs
Thibaut Vidal
62
0
0
07 Feb 2025
Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule
  Lists
Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists
Timothée Ly
Julien Ferry
Marie-José Huguet
Sébastien Gambs
Ulrich Aivodji
16
0
0
18 Mar 2024
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