1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
An Exact Kernel Equivalence for Finite Classification Models
Brian Bell, Michael Geyer, David Glickenstein +2
We explore the equivalence between neural networks and kernel methods by deriving the first exact representation of any finite-size parametric classification model trained with gra…
cs.CV2020★ 1 cited
SAD: Saliency-based Defenses Against Adversarial Examples
Richard Tran, David Patrick, Michael Geyer +1
With the rise in popularity of machine and deep learning models, there is an increased focus on their vulnerability to malicious inputs. These adversarial examples drift model pred…