| 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 | 102 | 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 | 78 | 2019 |
| Specific emitter identification using convolutional neural network-based IQ imbalance estimators LJ Wong, WC Headley, AJ Michaels IEEE Access 7, 33544-33555, 2019 | 71 | 2019 |
| Distributed cyclic spectrum feature-based modulation classification WC Headley, JD Reed, CRCM da Silva 2008 IEEE Wireless Communications and Networking Conference, 1200-1204, 2008 | 67 | 2008 |
| 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 | 64 | 2018 |
| 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 | 57 | 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 | 56 | 2014 |
| 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 | 55 | 2017 |
| 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 | 45 | 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 | 37 | 2020 |
| 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 | 32 | 2018 |
| 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 | 28* | 2021 |
| 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 | 19 | 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 | 19 | 2007 |
| 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 | 18 | 2019 |
| 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 | 17 | 2008 |
| 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 | 15 | 2021 |
| 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 | 15 | 2018 |
| 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 | 15 | 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 | 13 | 2020 |
Alan MichaelsVirginia Tech National Security InstituteZweryfikowany adres z vt.edu
