MammothDP hardens private boosted trees for trusted hardware
It adds privacy-free early stopping and rollback protection intended to resist timing side channels on TEEs.
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It adds privacy-free early stopping and rollback protection intended to resist timing side channels on TEEs.
Three algorithms for partially interpretable decision trees match or beat standard CART on real datasets.
TREVIS uses a Tree Transformer VAE latent space to learn decision trees matching near-optimal predictive performance while improving structural sparsity.
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