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A paper proposing the Task-Aware Diffusion Refiner (TADR), a conditional diffusion model trained against a frozen downstream anomaly detector to fix imputation bias in block-missing IIoT sensor data, improving F1 by 0.338 on SMD while running at 41.4 ms per window on a single CPU core.
This paper investigates the cross-domain generalization failure of lightweight ML models for IIoT intrusion detection, finding they rely on coarse port features and that adversarial robustness does not correlate with cross-network performance.