18 citations · 31 across the 7 of their papers we have counts for
5 papers · 1 filter
Exploring Sparsity and Smoothness of Arbitrary Lp Norms in Adversarial Attacks
Christof Duhme, Florian Eilers, Xiaoyi Jiang
Adversarial attacks against deep neural networks are commonly constructed under norm constraints, most often using , or , and potentially regularized…
Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks
Florian Eilers, Christof Duhme, Xiaoyi Jiang
Complex-valued neural networks (CVNNs) are rising in popularity for all kinds of applications. To safely use CVNNs in practice, analyzing their robustness against outliers is cruci…
CVKAN: Complex-Valued Kolmogorov-Arnold Networks
Matthias Wolff, Florian Eilers, Xiaoyi Jiang
In this work we propose CVKAN, a complex-valued Kolmogorov-Arnold Network (KAN), to join the intrinsic interpretability of KANs and the advantages of Complex-Valued Neural Networks…
DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued Neural Networks
Florian Eilers, Xiaoyi Jiang
Deep Neural Networks are widely used in academy as well as corporate and public applications, including safety critical applications such as health care and autonomous driving. The…
Building Blocks for a Complex-Valued Transformer Architecture
Florian Eilers, Xiaoyi Jiang
Most deep learning pipelines are built on real-valued operations to deal with real-valued inputs such as images, speech or music signals. However, a lot of applications naturally m…