Bryse Flowers
Cytowane przez
Cytowane przez
Evaluating adversarial evasion attacks in the context of wireless communications
B Flowers, RM Buehrer, WC Headley
IEEE Transactions on Information Forensics and Security 15, 1102-1113, 2019
On the limitations of targeted adversarial evasion attacks against deep learning enabled modulation recognition
S Bair, M DelVecchio, B Flowers, AJ Michaels, WC Headley
Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 25-30, 2019
When wireless security meets machine learning: Motivation, challenges, and research directions
YE Sagduyu, Y Shi, T Erpek, W Headley, B Flowers, G Stantchev, Z Lu
arXiv preprint arXiv:2001.08883, 2020
An rfml ecosystem: Considerations for the application of deep learning to spectrum situational awareness
LJ Wong, WH Clark, B Flowers, RM Buehrer, WC Headley, AJ Michaels
IEEE Open Journal of the Communications Society 2, 2243-2264, 2021
Communications aware adversarial residual networks for over the air evasion attacks
B Flowers, RM Buehrer, WC Headley
MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 133-140, 2019
Effects of forward error correction on communications aware evasion attacks
M DelVecchio, B Flowers, WC Headley
2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile …, 2020
A UCSD view on replication and reproducibility for CPS & IoT
A Yen, B Flowers, W Luo, N Nagesh, P Tueller, R Kastner, P Pannuto
Proceedings of the Workshop on Benchmarking Cyber-Physical Systems and …, 2021
Real-time Forecasting of On-Time Performance in Metrorail Systems
R Soper, B Flowers, S Bijinemula, B Mayer, F Khaghani, J Holt, ...
7th SIGKDD International Workshop on Urban Computing (UrbComp 2018), 2018
Countering Physical Eavesdropper Evasion with Adversarial Training
KW McClintick, J Harer, B Flowers, WC Headley, AM Wyglinski
IEEE Open Journal of the Communications Society 3, 1820-1833, 2022
2 Adversarial Machine Learning: A New Threat Paradigm for Next-generation Wireless Communications
YE Sagduyu, Y Shi, T Erpek, W Headley, B Flowers, G Stantchev, Z Lu, ...
AI, Machine Learning and Deep Learning: A Security Perspective, 35-52, 2023
Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments
S Thornton, B Flowers, S Dey
IEEE Access 10, 131841-131854, 2022
Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages
YJ Ku, B Flowers, S Thornton, S Baidya, S Dey
2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 1-6, 2022
Low Overhead Codebook Design for mmWave Roadside Units Placed at Smart Intersections
B Flowers, X Zhang, S Dey
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile …, 2021
Adversarial RFML: Evading Deep Learning Enabled Signal Classification
BA Flowers
Virginia Tech, 2019
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