… Capsule Networks has not yet been well studied. In our work, we perform an analysis to study
the vulnerabilities in Capsule Networks to adversarial attacks… fool the network to mispredict…

… We propose a more robust defense based on Capsule Networks that integrates three …
that capsule networks are more robust to adversarial attacks than ordinary neural networks. …

… different networks. (Section IV-B) • We compare the robustness of different networks against
adversarial attacks … Shafique, “Capsattacks: Robust and imperceptible adversarial attacks on …

… adversarial attacks to the dynamic routing capsule network and … [3] proved that the dynamic
routing capsule network is not … routing capsule network is vulnerable to adversarial attacks. …

… state of the art Capsule Network architectures and implementations. … not robust against
adversarial attacks. However, CapsNets are shown to be relatively resilient against such attacks (…

… focuses on analyzing the robustness of Capsule networks when subjected to noised-based
attacks. This would … Shafique, “Capsattacks: Robust and imperceptible adversarial attacks on …

… (2018) to identify inputs that the network is uncertain about. Most importantly, we show that
a Kernelized Capsule Network (KCN) is more robust to adversarial perturbations while also …

… will be key to enhancing the robustness and efficiency of capsule networks. … Adversarial
attacks on CapsHeads have been investigated, with studies such as CapsAttacks and Capsule-…

… capsule network. Jaesik [2] provided a variety of successful methods of adversarial attacks
on capsule networks… of the SCAE to adversarial attacks to help improve its robustness to such …

… We also propose weight sharing for capsule layers. The goal is to reduce the hardware …
Capsattacks: Robust and imperceptible adversarial attacks on capsule networks. ArXiv, abs/…