Jiawen Luo

Uncertainty-Aware Evidential Adversarial Defense for Cloud Intrusion Detection under GAN-Based Evasion Attacks

UA-EAD is proposed, an uncertainty-aware evidential adversarial defense that equips the detector with an evidential head yielding calibrated predictive uncertainty in a single forward pass, trains it with an uncertainty-weighted adversarial objective plus a consistency regularizer that concentrates robustness on the most uncertain, near-boundary flows, and uses the resulting uncertainty for selective prediction.