Adversarial Training for EM Classification Networks

no code implementations • 20 Nov 2020 • Tom Grimes, Eric Church, William Pitts, Lynn Wood, Eva Brayfindley, Luke Erikson, Mark Greaves

For this example, the effect of the robust and domain adversarial training is to remove features indicative of the difference in background between instances of operation of the device - providing highly discriminative features on which to construct the classifier.

Classification General Classification +1

Explanation of Unintended Radiated Emission Classification via LIME

no code implementations • 4 Sep 2020 • Tom Grimes, Eric Church, William Pitts, Lynn Wood

By applying LIME to this classifier and aggregating the results over many classifications for the same device, it was possible to determine the frequency bands used by the classifier to make decisions.

Classification General Classification +1