| Method and system for dynamic spectrum access using specialty detectors and improved networking MA McHenry, T Erpek, TTN Nguyen, OK Ritterbush, KN Steadman, ... US Patent 8,818,283, 2014 | 400 | 2014 |
| Deep learning based MIMO communications TJ O'Shea, T Erpek, TC Clancy arXiv preprint arXiv:1707.07980, 2017 | 322 | 2017 |
| Deep learning for launching and mitigating wireless jamming attacks T Erpek, YE Sagduyu, Y Shi IEEE Transactions on Cognitive Communications and Networking 5 (1), 2-14, 2018 | 255 | 2018 |
| Deep learning for wireless communications T Erpek, TJ O’Shea, YE Sagduyu, Y Shi, TC Clancy Development and Analysis of Deep Learning Architectures, 223-266, 2020 | 173 | 2020 |
| Channel-aware adversarial attacks against deep learning-based wireless signal classifiers B Kim, YE Sagduyu, K Davaslioglu, T Erpek, S Ulukus IEEE Transactions on Wireless Communications 21 (6), 3868-3880, 2021 | 145 | 2021 |
| Adversarial deep learning for cognitive radio security: Jamming attack and defense strategies Y Shi, YE Sagduyu, T Erpek, K Davaslioglu, Z Lu, JH Li 2018 IEEE international conference on communications workshops (ICC …, 2018 | 134 | 2018 |
| IoT network security from the perspective of adversarial deep learning YE Sagduyu, Y Shi, T Erpek 2019 16th Annual IEEE International Conference on Sensing, Communication …, 2019 | 121 | 2019 |
| Adversarial deep learning for over-the-air spectrum poisoning attacks YE Sagduyu, Y Shi, T Erpek IEEE Transactions on Mobile Computing 20 (2), 306-319, 2019 | 105 | 2019 |
| Physical layer deep learning of encodings for the MIMO fading channel TJ O'Shea, T Erpek, TC Clancy 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 104 | 2017 |
| Over-the-air adversarial attacks on deep learning based modulation classifier over wireless channels B Kim, YE Sagduyu, K Davaslioglu, T Erpek, S Ulukus 2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2020 | 100 | 2020 |
| Spectrum data poisoning with adversarial deep learning Y Shi, T Erpek, YE Sagduyu, JH Li MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 407-412, 2018 | 95 | 2018 |
| Spectrum Occupancy Measurements Loring Commerce Centre Limestone, Maine September 18-20, 2007 T Erpek, M Lofquist, K Patton The Shared Spectrum Company, 2007 | 84 | 2007 |
| Encoding and decoding of information for wireless transmission using multi-antenna transceivers TJ O'shea, T Erpek US Patent 10,305,553, 2019 | 83 | 2019 |
| Dublin ireland spectrum occupancy measurements collected on april 16-18, 2007 T Erpek, K Steadman, D Jones The Shared Spectrum Company, 2007 | 81* | 2007 |
| Reinforcement learning for dynamic resource optimization in 5G radio access network slicing Y Shi, YE Sagduyu, T Erpek 2020 IEEE 25th international workshop on computer aided modeling and design …, 2020 | 79 | 2020 |
| Learning-based UAV path planning for data collection with integrated collision avoidance X Wang, MC Gursoy, T Erpek, YE Sagduyu IEEE Internet of Things Journal 9 (17), 16663-16676, 2022 | 77 | 2022 |
| Adversarial machine learning for 5G communications security YE Sagduyu, T Erpek, Y Shi Game Theory and Machine Learning for Cyber Security, 270-288, 2021 | 67 | 2021 |
| DeepWiFi: Cognitive WiFi with deep learning K Davaslioglu, S Soltani, T Erpek, YE Sagduyu IEEE Transactions on Mobile Computing 20 (2), 429-444, 2019 | 67 | 2019 |
| An optimal application-aware resource block scheduling in LTE T Erpek, A Abdelhadi, TC Clancy 2015 International Conference on Computing, Networking and Communications …, 2015 | 59 | 2015 |
| 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 | 53 | 2020 |