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Found 3 papers, 1 papers with code
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
Specifically, CAAD employs contrastive learning in an adversarial setup to learn effective representations of normal and anomalous behavior in wireless networks.
A Wideband Signal Recognition Dataset
Signal recognition is a spectrum sensing problem that jointly requires detection, localization in time and frequency, and classification.
Wideband Signal Localization with Spectral Segmentation
We define the signal localization task, present the metrics of precision and recall, and establish baselines for traditional energy detection on this task.
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