Bryse Flowers

16 papers B 2Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
BRIC: Bottom-Up Residual Vector Quantization for Learned Image Compression.
IEEE Access
Bryse Flowers, Sujit Dey
2024 — —
Optimizing Vehicular Sensor Data Transmission: A Multi-Technology Approach Using ML Techniques
Bryse Flowers
2024 J jnl
Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing Over C-V2X Communications.
IEEE Trans. Veh. Technol.
Bryse Flowers, Yu-Jen Ku, Sabur Baidya, Sujit Dey
2023 — conf
Utilizing Unsupervised Learning for Improving ML Channel State Feedback in Cellular Networks.
VTC2023-Spring
Bryse Flowers, Adarsh Sawant, Runxin Wang, Dustin Zhang
2022 — conf
Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages.
VTC Spring
Yu-Jen Ku, Bryse Flowers, Samuel Thornton, Sabur Baidya, Sujit Dey
2022 J jnl
Countering Physical Eavesdropper Evasion with Adversarial Training.
IEEE Open J. Commun. Soc.
Kyle W. McClintick, Jacob Harer, Bryse Flowers, William C. Headley, Alexander M. Wyglinski
2022 J jnl
Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments.
IEEE Access
Samuel Thornton, Bryse Flowers, Sujit Dey
2021 J jnl
An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness.
IEEE Open J. Commun. Soc.
Lauren J. Wong, William H. Clark, Bryse Flowers, R. Michael Buehrer, William C. Headley, Alan J. Michaels
2021 B conf
Low Overhead Codebook Design for mmWave Roadside Units Placed at Smart Intersections.
PIMRC
Bryse Flowers, Xinyu Zhang, Sujit Dey
2020 B conf
Effects of Forward Error Correction on Communications Aware Evasion Attacks.
PIMRC
Matthew DelVecchio, Bryse Flowers, William C. Headley
2020 J jnl
Effects of Forward Error Correction on Communications Aware Evasion Attacks.
CoRR
Matthew DelVecchio, Bryse Flowers, William C. Headley
2020 J jnl
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications.
IEEE Trans. Inf. Forensics Secur.
Bryse Flowers, R. Michael Buehrer, William C. Headley
2020 J jnl
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions.
CoRR
Yalin E. Sagduyu, Yi Shi, Tugba Erpek, William C. Headley, Bryse Flowers, George Stantchev, Zhuo Lu
2019 — conf
Communications Aware Adversarial Residual Networks for over the Air Evasion Attacks.
MILCOM
Bryse Flowers, R. Michael Buehrer, William C. Headley
2019 J jnl
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications.
CoRR
Bryse Flowers, R. Michael Buehrer, William C. Headley
2019 — conf
On the Limitations of Targeted Adversarial Evasion Attacks Against Deep Learning Enabled Modulation Recognition.
WiseML@WiSec
Samuel Bair, Matthew DelVecchio, Bryse Flowers, Alan J. Michaels, William C. Headley