Adversarial Robustness of Complex-Valued Graph Attention Beamformers: A Gradient Efficiency Study
Graph neural network (GNN) based beamformers have demonstrated near-optimal performance for multi-user MISO systems, yet their security under adversarial channel perturbations remains unexplored. We study the adversarial robustness of a complex-valued Graph Attention Network (GAT) beamformer trained via unsupervised La...