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

This study examines how vulnerable complex-valued neural networks are to adversarial attacks, which could affect the security of AI systems using such architectures.

Auto-scored: It identifies a potential security weakness in a specific neural network type, but the impact is limited to research settings.