Author

C. Duhme

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#artificial intelligence Feb 2026

Exploring Sparsity and Smoothness of Arbitrary ℓp Norms in Adversarial Attacks

It is shown that the choice of $\ell_1$ or $\ell_2$ is suboptimal in most cases and the optimal $p$ value is dependent on the specific task, highlighting the importance of principled norm selection when designing and evaluating adversarial attacks.

C. Duhme, Florian Eilers, Xiao-Yi Jiang · arXiv.org · 0 citations

#artificial intelligence Feb 2026

Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks

It is shown that in some scenarios CVNNs are more robust than RVNNs and that both are very susceptible to phase changes with the Phase Attacks decreasing the model performance more, than equally strong regular attacks, which can attack both phase and magnitude.

Florian Eilers, C. Duhme, Xiao-Yi Jiang · arXiv.org · 0 citations