24 citations · 35 across the 8 of their papers we have counts for
3 papers · 1 filter
AutoEncoders for Training Compact Deep Learning RF Classifiers for Wireless Protocols
Silvija Kokalj-Filipovic, Rob Miller, Joshua Morman
We show that compact fully connected (FC) deep learning networks trained to classify wireless protocols using a hierarchy of multiple denoising autoencoders (AEs) outperform refere…
Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training
Silvija Kokalj-Filipovic, Rob Miller, Nicholas Chang +1
Adversarial examples in machine learning for images are widely publicized and explored. Illustrations of misclassifications caused by slightly perturbed inputs are abundant and com…
Adversarial Examples in RF Deep Learning: Detection of the Attack and its Physical Robustness
Silvija Kokalj-Filipovic, Rob Miller
While research on adversarial examples in machine learning for images has been prolific, similar attacks on deep learning (DL) for radio frequency (RF) signals and their mitigation…