15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.LG2021
Learning to Detect Adversarial Examples Based on Class Scores
Tobias Uelwer, Felix Michels, Oliver De Candido
Given the increasing threat of adversarial attacks on deep neural networks (DNNs), research on efficient detection methods is more important than ever. In this work, we take a clos…
cs.LG2019★ 15 cited
On the Vulnerability of Capsule Networks to Adversarial Attacks
Felix Michels, Tobias Uelwer, Eric Upschulte +1
This paper extensively evaluates the vulnerability of capsule networks to different adversarial attacks. Recent work suggests that these architectures are more robust towards adver…