Josh Robinson

According to our database, Josh Robinson authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2023

A Conditional Analysis of RF ML Latent Features.

Scott Kuzdeba, Josh Robinson

Proceedings of the IEEE Military Communications Conference, 2023

2022

Systems View to Designing RF Fingerprinting for Real-World Operations.

Scott Kuzdeba, Josh Robinson, Joseph M. Carmack, David Couto

Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022

Data-Centric Approaches to Radio Frequency Machine Learning.

Scott Kuzdeba, Josh Robinson

Proceedings of the IEEE Military Communications Conference, 2022

FPGA Implementation of Radio Frequency Neural Networks.

Amit Bhatia, Josh Robinson, Joseph M. Carmack, Scott Kuzdeba

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021

Neural Network Generative Models for Radio Frequency Data.

Joseph M. Carmack, Amit Bhatia, Josh Robinson, John Majewski, Scott Kuzdeba

Proceedings of the 12th IEEE Annual Ubiquitous Computing, 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

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

Novel device detection using RF fingerprints.

Josh Robinson, Scott Kuzdeba

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

RiftNet: Radio Frequency Classification for Large Populations.

Josh Robinson, Scott Kuzdeba

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Transfer Learning with Radio Frequency Signals.

Scott Kuzdeba, Josh Robinson, Joseph M. Carmack

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

RF Fingerprinting with Dilated Causal Convolutions-An Inherently Explainable Architecture.

Scott Kuzdeba, Joseph M. Carmack, Josh Robinson

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Dilated Causal Convolutional Model For RF Fingerprinting.

Josh Robinson, Scott Kuzdeba, James Stankowicz, Joseph M. Carmack

Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020