Concepedia
Statistics
Publications
8
Citations
228
H-Index
Active since
2019
Affiliations
Virginia Tech(Current)
University of California San Diego
Bryse Flowers is an author at Virginia Tech specializing in computing, computer science, and machine learning.
Publications per year
2019–2023
On the Limitations of Targeted Adversarial Evasion Attacks Against Deep Learning Enabled Modulation Recognition
Samuel Bair, Matthew DelVecchio, Bryse Flowers et al. · 2019 · 64 citations
Computing, Computer Science, Electrical Engineering +16
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions
Yalin E. Sagduyu, Yi Shi, Tugba Erpek et al. · arXiv (Cornell University) · 2020 · 38 citations · Full text
Computing, Computer Engineering, Computer Science +15
An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness
Lauren J. Wong, William H. Clark, Bryse Flowers et al. · IEEE Open Journal of the Communications Society · 2021 · 25 citations · Full text
Computing, Computer Science, Electrical Engineering +11
The RFML Ecosystem: A Look at the Unique Challenges of Applying Deep Learning to Radio Frequency Applications
Lauren J. Wong, William H. Clark, Bryse Flowers et al. · arXiv (Cornell University) · 2020 · 24 citations · Full text
Computing, Computer Science, Electrical Engineering +10
Communications Aware Adversarial Residual Networks for over the Air Evasion Attacks
Bryse Flowers, R. Michael Buehrer, William C. Headley · 2019 · 23 citations
Computing, Computer Science, Computer Security +9
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