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

arXiv:2602.06577 · cs.LG, cs.AI · Submitted 2026-02-06 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-02-06

Updated: 2026-09-17

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 33× in this paper · explained in 5 episodes
• Adversarial Attacks — 30× in this paper · explained in 1 episode
• Adversarial Training — 19× in this paper · explained in 1 episode
• Adversarial Robustness — 10× in this paper · explained in 3 episodes
• Adversarial Examples — 4× in this paper · explained in 2 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Objective Function — 2× in this paper · explained in 2 episodes
• Transferability — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adversarial Defense — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Fast Gradient Sign Method — 1× in this paper
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fingerprinting — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Intriguing properties of neural networks
• Explaining and Harnessing Adversarial Examples
• Ensemble Adversarial Training: Attacks and Defenses
• Tumor likelihood estimation on MRI prostate data by utilizing k-Space information

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