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🏢 Tübingen AI Center, University of Tübingen

Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
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AI Theory Robustness 🏢 Tübingen AI Center, University of Tübingen
This paper optimizes randomized smoothing, a crucial certified defense against adversarial attacks, by introducing novel statistical methods that drastically reduce the computational cost, leading to …
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
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AI Generated Machine Learning Deep Learning 🏢 Tübingen AI Center, University of Tübingen
FSP-LAPLACE efficiently integrates interpretable function-space priors into Bayesian deep learning via a novel Laplace approximation, significantly improving uncertainty estimates and model performanc…