William "Chris" Headley
Virginia Polytechnic Institute and State University
H-index: 18
North America-United States
Top articles of William "Chris" Headley
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A vertically integrated projects model for multi-institution and multi-discipline undergraduate research in radio frequency ai/ml | Alyse M Jones Sonya Dennis Colleen Bartos Ehren Hill Amos Johnson | 2024/3/15 | |
Adversarial Machine Learning: A New Threat Paradigm for Next-generation Wireless Communications | Yalin E Sagduyu Yi Shi Tugba Erpek William Headley Bryse Flowers | 2023/6/5 | |
Probability-reduction of geolocation using reconfigurable intelligent surface reflections | Anders M Buvarp Daniel J Jakubisin William C Headley Jeffrey H Reed | 2023/3/26 | |
Rfrl gym: A reinforcement learning testbed for cognitive radio applications | arXiv preprint arXiv:2401.05406 | Daniel Rosen Illa Rochez Caleb McIrvin Joshua Lee Kevin D'Alessandro | 2023/12/20 |
Time-Diverse Doppler-only LEO PNT | Megan O Moore R Michael Buehrer William C Headley | 2023/10/30 | |
Demoing the RFRL Gym: A Reinforcement Learning Testbed for Wireless Communications | Alyse M Jones Amos Johnson William C Headley | 2023/10/30 | |
A Comparative Overview of Automotive Radar Spoofing Countermeasures | Minh A Vu William C Headley Kevin P Heaslip | 2022/7/27 | |
Decoupling RNN training and testing observation intervals for spectrum sensing applications | Sensors | Megan O Moore R Michael Buehrer William Chris Headley | 2022/6/22 |
Considerations of reinforcement learning within real-time wireless communication systems | Alyse M Jones William C Headley | 2022/11/28 | |
Classification of radio signals using truncated Gaussian discriminant analysis of convolutional neural network-derived features | JB Persons Lauren J Wong Megan O Moore William C Headley MC Fowler | 2022/11/28 | |
Countering physical eavesdropper evasion with adversarial training | IEEE Open Journal of the Communications Society | Kyle W McClintick Jacob Harer Bryse Flowers William C Headley Alexander M Wyglinski | 2022/10/12 |
Training data augmentation for deep learning radio frequency systems | The Journal of Defense Modeling and Simulation | William H Clark IV Steven Hauser William C Headley Alan J Michaels | 2021/2/21 |
Multi-antenna pre-processing for improved rfml in congested spectral environments | MR Williamson William C Headley William H Clark Joey McCollum Thomas Krauss | 2021/12/13 | |
An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness | IEEE Open Journal of the Communications Society | Lauren J Wong William H Clark Bryse Flowers R Michael Buehrer William C Headley | 2021/9/20 |
Scaled-Time-Attention Robust Edge Network | arXiv preprint arXiv:2107.04688 | Richard Lau Lihan Yao Todd Huster William Johnson Stephen Arleth | 2021/7/9 |
Investigating a spectral deception loss metric for training machine learning-based evasion attacks | Matthew DelVecchio Vanessa Arndorfer William C Headley | 2020/7/13 | |
When wireless security meets machine learning: Motivation, challenges, and research directions | Yalin E Sagduyu Yi Shi Tugba Erpek William Headley Bryse Flowers | 2020/1/24 | |
FPGA Implementation of a Pseudo-Random Signal Generator for RF Hardware Test and Evaluation | Randeep S Baweja Devin Ridge Harpreet S Dhillon William C Headley | 2020/11/6 | |
When is Enough Enough?" Just Enough" Decision Making with Recurrent Neural Networks for Radio Frequency Machine Learning | Megan Moore William H Clark R Michael Buehrer William C Headley | 2020/11/6 | |
Resilience Improvements for Space-Based Radio Frequency Machine Learning | Lauren J Wong Emily Altland Joshua Detwiler Paolo Fermin Julia Mahon Kuzin | 2020/10/20 |
Co-Authors
