Max Collins

NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion

Adversarial samples exploit irregularities in the manifold "learned" by deep learning models to cause misclassifications. The study of these adversarial samples provides insight into the features a model uses to classify inputs, which can be leveraged to improve robustness against future attacks. Ho…