William "Chris" Headley
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
Deep learning for RF signal classification in unknown and dynamic spectrum environments
Y Shi, K Davaslioglu, YE Sagduyu, WC Headley, M Fowler, G Green
2019 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2019
Specific emitter identification using convolutional neural network-based IQ imbalance estimators
LJ Wong, WC Headley, AJ Michaels
IEEE Access 7, 33544-33555, 2019
Clustering learned CNN features from raw I/Q data for emitter identification
LJ Wong, WC Headley, S Andrews, RM Gerdes, AJ Michaels
MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 26-33, 2018
Distributed cyclic spectrum feature-based modulation classification
WC Headley, JD Reed, CRCM da Silva
2008 IEEE Wireless Communications and Networking Conference, 1200-1204, 2008
Signal detection effects on deep neural networks utilizing raw IQ for modulation classification
SC Hauser, WC Headley, AJ Michaels
MILCOM 2017-2017 IEEE Military Communications Conference (MILCOM), 121-127, 2017
Asynchronous classification of digital amplitude-phase modulated signals in flat-fading channels
WC Headley, CRCM da Silva
IEEE Transactions on Communications 59 (1), 7-12, 2010
Practical issues for spectrum management with cognitive radios
SM Dudley, WC Headley, M Lichtman, EY Imana, X Ma, M Abdelbar, ...
Proceedings of the IEEE 102 (3), 242-264, 2014
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
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
Deep reinforcement learning for dynamic spectrum access in wireless networks
Y Xu, J Yu, WC Headley, RM Buehrer
MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 207-212, 2018
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
Training data augmentation for deep learning radio frequency systems
WH Clark IV, S Hauser, WC Headley, AJ Michaels
The Journal of Defense Modeling and Simulation, 1548512921991245, 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
Low antenna ultra wideband propagation measurements and modeling in a forest environment
CR Anderson, HI Volos, WC Headley, F Muller, RM Buehrer
2008 IEEE Wireless Communications and Networking Conference, 1229-1234, 2008
The application of distributed spectrum sensing and available resource maps to cognitive radio systems
CRCM da Silva, WC Headley, JD Reed, Y Zhao
2008 Information Theory and Applications Workshop, 53-57, 2008
Indoor location positioning of non-active objects using ultra-wideband radios
WC Headley, CRCM da Silva, RM Buehrer
2007 IEEE Radio and Wireless Symposium, 105-108, 2007
Investigating a spectral deception loss metric for training machine learning-based evasion attacks
M DelVecchio, V Arndorfer, WC Headley
Proceedings of the 2nd ACM Workshop on Wireless Security and Machine …, 2020
Preliminary UWB propagation measurements in an underground limestone mine
HI Volos, CR Anderson, WC Headley, RM Buehrer, CRCM da Silva, ...
IEEE GLOBECOM 2007-IEEE Global Telecommunications Conference, 3770-3774, 2007
Estimation of transmitter I/Q imbalance using convolutional neural networks
LJ Wong, WC Headley, AJ Michaels
2018 IEEE 8th Annual Computing and Communication Workshop and Conference …, 2018
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