Communications Aware Adversarial Residual Networks for over the Air Evasion Attacks. - Bryse Flowers; R. Michael Buehrer; William C. Headley (MILCOM, 2019)

On the Limitations of Targeted Adversarial Evasion Attacks Against Deep Learning Enabled Modulation Recognition. - Samuel Bair; Matthew DelVecchio; Bryse Flowers; Alan J. Michaels; William C. Headley (WiseML@WiSec, 2019)

Effects of Forward Error Correction on Communications Aware Evasion Attacks. - Matthew DelVecchio; Bryse Flowers; William C. Headley (PIMRC, 2020)

When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions. - Yalin E. Sagduyu; Yi Shi 001; Tugba Erpek; William C. Headley; Bryse Flowers; George Stantchev; Zhuo Lu (CoRR, 2020)

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications. - Bryse Flowers; R. Michael Buehrer; William C. Headley (IEEE Trans. Inf. Forensics Secur., 2020)

Low Overhead Codebook Design for mmWave Roadside Units Placed at Smart Intersections. - Bryse Flowers; Xinyu Zhang 003; Sujit Dey (PIMRC, 2021)

An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness. - Lauren J. Wong; William H. Clark; Bryse Flowers; R. Michael Buehrer; William C. Headley; Alan J. Michaels (IEEE Open J. Commun. Soc., 2021)

Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages. - Yu-Jen Ku; Bryse Flowers; Samuel Thornton; Sabur Baidya; Sujit Dey (VTC Spring, 2022)

Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments. - Samuel Thornton; Bryse Flowers; Sujit Dey (IEEE Access, 2022)

Countering Physical Eavesdropper Evasion with Adversarial Training. - Kyle W. McClintick; Jacob Harer; Bryse Flowers; William C. Headley; Alexander M. Wyglinski (IEEE Open J. Commun. Soc., 2022)

Utilizing Unsupervised Learning for Improving ML Channel State Feedback in Cellular Networks. - Bryse Flowers; Adarsh Sawant; Runxin Wang; Dustin Zhang (VTC2023-Spring, 2023)

BRIC: Bottom-Up Residual Vector Quantization for Learned Image Compression. - Bryse Flowers; Sujit Dey (IEEE Access, 2024)

Optimizing Vehicular Sensor Data Transmission: A Multi-Technology Approach Using ML Techniques - Bryse Flowers (2024)

Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing Over C-V2X Communications. - Bryse Flowers; Yu-Jen Ku; Sabur Baidya; Sujit Dey (IEEE Trans. Veh. Technol., 2024)