Miklós Z. Horváth | DeepAI

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Martin Vechev
49 publications
Marc Fischer
22 publications
Mark Niklas Müller
12 publications

research

∙ 05/27/2022

(De-)Randomized Smoothing for Decision Stump Ensembles

Tree-based models are used in many high-stakes application domains such ...

0 Miklós Z. Horváth, et al. ∙

research

∙ 04/01/2022

Robust and Accurate – Compositional Architectures for Randomized Smoothing

Randomized Smoothing (RS) is considered the state-of-the-art approach to...

0 Miklós Z. Horváth, et al. ∙

research

∙ 06/13/2021

Boosting Randomized Smoothing with Variance Reduced Classifiers

Randomized Smoothing (RS) is a promising method for obtaining robustness...

0 Miklós Z. Horváth, et al. ∙