Search Results for author:
Found 2 papers, 1 papers with code
Raising the Bar for Certified Adversarial Robustness with Diffusion Models
In this work, we demonstrate that a similar approach can substantially improve deterministic certified defenses.
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks
We also demonstrate that our family of models is able to generalize well towards larger scales and improve scale equivariance.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
