Joseph M. Carmack

According to our database, Joseph M. Carmack authored at least 10 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

RiftNeXt™: Explainable Deep Neural RF Scene Classification.

Steve Schmidt, James Stankowicz, Joseph M. Carmack, Scott Kuzdeba

Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021

Multi-Agent Reinforcement Learning Approaches to RF Fingerprint Enhancement.

Joseph M. Carmack, Steve Schmidt, Scott Kuzdeba

Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 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

Transfer Learning with Radio Frequency Signals.

Scott Kuzdeba, Josh Robinson, Joseph M. Carmack

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

RiftNet Reconstruction Model for Radio Frequency Domain Waveform Representation and Synthesis.

Joseph M. Carmack, Scott Kuzdeba

Proceedings of the IEEE World AI IoT Congress, 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