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SilentWood: Efficient Private Inference Over Gradient-Boosting Decision Forests
Gradient boosting decision forests, used by XGBoost or AdaBoost, offer higher accuracy and lower training times than decision trees on large datasets. Private inference protocols for decision trees can preserve both input and tree privacy. However, naively extending them to decision forests by repli
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