65 citations · 89 across the 14 of their papers we have counts for
3 papers · 1 filter
Certified Training: Small Boxes are All You Need
Mark Niklas Müller, Franziska Eckert, Marc Fischer +1
To obtain, deterministic guarantees of adversarial robustness, specialized training methods are used. We propose, SABR, a novel such certified training method, based on the key ins…
(De-)Randomized Smoothing for Decision Stump Ensembles
Miklós Z. Horváth, Mark Niklas Müller, Marc Fischer +1
Tree-based models are used in many high-stakes application domains such as finance and medicine, where robustness and interpretability are of utmost importance. Yet, methods for im…
Robust and Accurate -- Compositional Architectures for Randomized Smoothing
Miklós Z. Horváth, Mark Niklas Müller, Marc Fischer +1
Randomized Smoothing (RS) is considered the state-of-the-art approach to obtain certifiably robust models for challenging tasks. However, current RS approaches drastically decrease…