Atri Vivek Sharma

Learning Robust XGBoost Ensembles for Regression Tasks

Methods to improve the adversarial robustness of tree-based ensemble models for classification tasks have received significant attention in recent years. In this work, we propose a novel method for training robust tree-based boosted ensembles applicable to any task that employs a differentiable loss