| 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 | 131 | 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 | 131 | 2018 |
| 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 | 121 | 2019 |
| Generative adversarial learning for spectrum sensing K Davaslioglu, YE Sagduyu 2018 IEEE international conference on communications (ICC), 1-6, 2018 | 120 | 2018 |
| Generative adversarial network for wireless signal spoofing Y Shi, K Davaslioglu, YE Sagduyu Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 55-60, 2019 | 105 | 2019 |
| Generative adversarial network in the air: Deep adversarial learning for wireless signal spoofing Y Shi, K Davaslioglu, YE Sagduyu IEEE Transactions on Cognitive Communications and Networking 7 (1), 294-303, 2020 | 94 | 2020 |
| 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 | 93 | 2020 |
| Quantifying potential energy efficiency gain in green cellular wireless networks K Davaslioglu, E Ayanoglu IEEE Communications Surveys & Tutorials 16 (4), 2065-2091, 2014 | 89 | 2014 |
| Trojan attacks on wireless signal classification with adversarial machine learning K Davaslioglu, YE Sagduyu 2019 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2019 | 76 | 2019 |
| The optimum received power levels of uplink non-orthogonal multiple access (NOMA) signals F Al Rabee, K Davaslioglu, R Gitlin 2017 IEEE 18th Wireless and Microwave Technology Conference (WAMICON), 1-4, 2017 | 66 | 2017 |
| DeepWiFi: Cognitive WiFi with deep learning K Davaslioglu, S Soltani, T Erpek, YE Sagduyu IEEE Transactions on Mobile Computing 20 (2), 429-444, 2019 | 65 | 2019 |
| Base station prediction and proactive mobility management in virtual cells using recurrent neural networks DS Wickramasuriya, CA Perumalla, K Davaslioglu, RD Gitlin 2017 IEEE 18th Wireless and Microwave Technology Conference (WAMICON), 1-6, 2017 | 63 | 2017 |
| Real-time and embedded deep learning on FPGA for RF signal classification S Soltani, YE Sagduyu, R Hasan, K Davaslioglu, H Deng, T Erpek MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 1-6, 2019 | 48 | 2019 |
| QoS and jamming-aware wireless networking using deep reinforcement learning N Abuzainab, T Erpek, K Davaslioglu, YE Sagduyu, Y Shi, SJ Mackey, ... MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 610-615, 2019 | 47 | 2019 |
| Energy-Efficient Resource Allocation for Fractional Frequency Reuse in Heterogeneous Networks EA Kemal Davaslioglu, Cemil Can Coskun IEEE Transactions on Wireless Communications 14 (10), 5484 - 5497, 2015 | 43 | 2015 |
| Over-the-air membership inference attacks as privacy threats for deep learning-based wireless signal classifiers Y Shi, K Davaslioglu, YE Sagduyu Proceedings of the 2nd ACM Workshop on Wireless Security and Machine …, 2020 | 41 | 2020 |
| Generative adversarial networks for black-box API attacks with limited training data Y Shi, YE Sagduyu, K Davaslioglu, JH Li 2018 IEEE International Symposium on Signal Processing and Information …, 2018 | 37 | 2018 |
| Active deep learning attacks under strict rate limitations for online API calls Y Shi, YE Sagduyu, K Davaslioglu, JH Li 2018 IEEE international symposium on technologies for homeland security (HST …, 2018 | 36 | 2018 |
| Machine learning in NextG networks via generative adversarial networks E Ayanoglu, K Davaslioglu, YE Sagduyu IEEE Transactions on Cognitive Communications and Networking 8 (2), 480-501, 2022 | 35 | 2022 |
| How to Make 5G Communications" Invisible": Adversarial Machine Learning for Wireless Privacy B Kim, YE Sagduyu, K Davaslioglu, T Erpek, S Ulukus 2020 54th Asilomar Conference on Signals, Systems, and Computers, 763-767, 2020 | 35 | 2020 |
Ender AyanogluProfessor of Electrical Engineering and Computer Science, University of California, IrvineBestätigte E-Mail-Adresse bei uci.edu
