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Samuel Price

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Open access Jul 2026

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.

Jiawen Luo, Samuel Price · 0 citations