Boosting Randomized Smoothing with Variance Reduced Classifiers. - Miklós Z. Horváth; Mark Niklas Müller; Marc Fischer 002; Martin T. Vechev (ICLR, 2022)

(De-)Randomized Smoothing for Decision Stump Ensembles. - Miklós Z. Horváth; Mark Niklas Müller; Marc Fischer 002; Martin T. Vechev (NeurIPS, 2022)

Robust and Accurate - Compositional Architectures for Randomized Smoothing. - Miklós Z. Horváth; Mark Niklas Müller; Marc Fischer 002; Martin T. Vechev (CoRR, 2022)