25 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.LG2021
A Framework for Verification of Wasserstein Adversarial Robustness
Tobias Wegel, Felix Assion, David Mickisch +1
Machine learning image classifiers are susceptible to adversarial and corruption perturbations. Adding imperceptible noise to images can lead to severe misclassifications of the ma…
cs.LG2020★ 25 cited
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study
David Mickisch, Felix Assion, Florens Greßner +2
Despite achieving remarkable performance on many image classification tasks, state-of-the-art machine learning (ML) classifiers remain vulnerable to small input perturbations. Espe…