AI RESEARCH
Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees
arXiv CS.LG
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ArXi:2605.22756v1 Announce Type: new 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