Author

Wajiha Zaheer

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#machine learning Preprint Sep 2026

Evasion Attacks on Cost-Utility-Based Adversarial Training for Online AutoML in IoT Networks

Evaluating the impact of black-box evasion attacks on a cost-utility-based adversarial training defense strategy in an Online AutoML context for IoT networks shows that the AT versions of LB and SRP performed best, achieving the highest adversarial accuracy and high clean accuracy.

C. Nwokoye, Wajiha Zaheer, Khalil El-Khatib et al. · 0 citations