Xin-Zhu Dong

Robustness as a Tunable Design Objective for Lightweight IoT Intrusion Detection

Deep learning intrusion detectors for IoT networks are mostly evaluated on clean-data accuracy alone, leaving their behavior under perturbation unknown. This paper treats robustness as a tunable design parameter rather than an uncontrolled byproduct. The mechanism itself is not novel, since training with additive input...