Bryse Flowers

Orcid: 0000-0003-1474-4732

According to our database1, Bryse Flowers authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing Over C-V2X Communications.
IEEE Trans. Veh. Technol., March, 2024

2023
Utilizing Unsupervised Learning for Improving ML Channel State Feedback in Cellular Networks.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2022
Countering Physical Eavesdropper Evasion with Adversarial Training.
IEEE Open J. Commun. Soc., 2022

Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments.
IEEE Access, 2022

Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

2021
An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness.
IEEE Open J. Commun. Soc., 2021

Low Overhead Codebook Design for mmWave Roadside Units Placed at Smart Intersections.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

2020
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications.
IEEE Trans. Inf. Forensics Secur., 2020

When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions.
CoRR, 2020

Effects of Forward Error Correction on Communications Aware Evasion Attacks.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

2019
On the Limitations of Targeted Adversarial Evasion Attacks Against Deep Learning Enabled Modulation Recognition.
Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019

Communications Aware Adversarial Residual Networks for over the Air Evasion Attacks.
Proceedings of the 2019 IEEE Military Communications Conference, 2019


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