Author

S. Verwer

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#machine learning Preprint May 2023

Differentially-Private Decision Trees and Provable Robustness to Data Poisoning

By leveraging the better privacy-utility trade-off of PrivaTree, this work is able to train decision trees with significantly better robustness against backdoor attacks compared to regular decision trees and with meaningful theoretical guarantees.

D. Vos, Jelle Vos, Tianyu Li et al. · 6 citations