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cs.LG2026
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…
cs.LG2026
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…