| 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 | 11 | 2022 |
| Application of DORT and pulse inversion to detection and selective electromagnetic focusing on nonlinear elements JM Faia, KW McClintick, SK Hong 2017 XXXIInd General Assembly and Scientific Symposium of the International …, 2017 | 7 | 2017 |
| Machine learning-based roadside vehicular traffic localization via opportunistic wireless sensing KW McClintick, M Page, T Wickramarathne, AM Wyglinski 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 3 | 2019 |
| Experimental test-bed for bumblebee-inspired channel selection in an ad-hoc network KS Gill, K McClintick, N Kanthasamy, J Tolbert, D Nguyen, S Nguyen, ... 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018 | 3 | 2018 |
| Parameter estimation and classification via supervised learning in the wireless physical layer KW Mcclintick, GM Wernsing, PVR Ferreira, AM Wyglinski IEEE Access 9, 164854-164886, 2021 | 2 | 2021 |
| Reproduction of" evaluating adversarial evasion attacks in the context of wireless communications" and" convolutional radio modulation recognition networks" KW McClintick, AM Wyglinski Proceedings of the Workshop on Benchmarking Cyber-Physical Systems and …, 2021 | 2 | 2021 |
| Self-Organizing Multilateration of an Unknown Number of Transmitters KW McClintick, J Tolbert, AM Wyglinski IEEE Open Journal of Vehicular Technology 3, 85-97, 2022 | 1 | 2022 |
| Training Data Generation Framework For Machine-Learning Based Classifiers KW McClintick WORCESTER POLYTECHNIC INSTITUTE, 2018 | 1 | 2018 |
| Securing Physical Layer Passband Signals Via Machine Learning KW McClintick MIT Lincoln Laboratory, 2021 | | 2021 |
| Physical Layer Neural Network Framework for Training Data Formation KW McClintick, AM Wyglinski 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018 | | 2018 |
