Differentially-Private Decision Trees and Provable Robustness to Data Poisoning

Daniël Vos, Jelle Vos, Tianyu Li +2

Decision trees are interpretable models that are well-suited to non-linear learning problems. Much work has been done on extending decision tree learning algorithms with differenti…