2022
(De-)Randomized Smoothing for Decision Stump Ensembles
NeurIPS 2022accept
Tree-based models are used in many high-stakes application domains such as finance and medicine, where robustness and interpretability are of utmost importance. Yet, methods for improving and certifying their robustness are severely under-explored, in contrast to those focusing on neural networks. Ta…