Dilated Causal Convolutional Model For RF Fingerprinting. - Josh Robinson; Scott Kuzdeba; James Stankowicz; Joseph M. Carmack (CCWC, 2020)

RF Fingerprinting with Dilated Causal Convolutions-An Inherently Explainable Architecture. - Scott Kuzdeba; Joseph M. Carmack; Josh Robinson (ACSCC, 2021)

Transfer Learning with Radio Frequency Signals. - Scott Kuzdeba; Josh Robinson; Joseph M. Carmack (CCNC, 2021)

RiftNet: Radio Frequency Classification for Large Populations. - Josh Robinson; Scott Kuzdeba (CCNC, 2021)

Novel device detection using RF fingerprints. - Josh Robinson; Scott Kuzdeba (CCWC, 2021)

Neural Network Signal Processing for LTE Receiver Application. - Josh Robinson; Joseph M. Carmack; Amit Bhatia; John Majewski; Scott Kuzdeba; Joseph Farkas; Brandon Hombs; Thomas Koch (DySPAN, 2021)

Neural Network Generative Models for Radio Frequency Data. - Joseph M. Carmack; Amit Bhatia; Josh Robinson; John Majewski; Scott Kuzdeba (UEMCON, 2021)

FPGA Implementation of Radio Frequency Neural Networks. - Amit Bhatia; Josh Robinson; Joseph M. Carmack; Scott Kuzdeba (CCWC, 2022)

Data-Centric Approaches to Radio Frequency Machine Learning. - Scott Kuzdeba; Josh Robinson (MILCOM, 2022)

Systems View to Designing RF Fingerprinting for Real-World Operations. - Scott Kuzdeba; Josh Robinson; Joseph M. Carmack; David Couto (WiseML@WiSec, 2022)

A Conditional Analysis of RF ML Latent Features. - Scott Kuzdeba; Josh Robinson (MILCOM, 2023)