arxiv
PublishedMay 22, 2026 at 4:00 AM
Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees
Publisher summary· verbatim
arXiv:2605.22756v1 Announce Type: new Abstract: Random forests are widely used in fields involving sensitive tabular data, but existing approaches to enforcing differential privacy (DP) typically degrade performance to the point of impracticality. In this paper, we introduce Lumberjack, a differenti
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Originally published on arxiv ↗