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Yalin E. Sagduyu
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Publications
- 2023
- [j44]Kemal Davaslioglu, Serdar Boztas, Mehmet Can Ertem, Yalin E. Sagduyu, Ender Ayanoglu:
Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learning. IEEE Wirel. Commun. Lett. 12(1): 65-69 (2023) - 2022
- [j43]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas. Entropy 24(8): 1047 (2022) - [j41]Ender Ayanoglu, Kemal Davaslioglu, Yalin E. Sagduyu:
Machine Learning in NextG Networks via Generative Adversarial Networks. IEEE Trans. Cogn. Commun. Netw. 8(2): 480-501 (2022) - [j39]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. IEEE Trans. Wirel. Commun. 21(6): 3868-3880 (2022) - [c94]Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu:
Autoencoder Communications with Optimized Interference Suppression for NextG RAN. FNWF 2022: 164-169 - [c88]Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu:
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems. MILCOM 2022: 547-552 - [i58]Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu:
End-to-End Autoencoder Communications with Optimized Interference Suppression. CoRR abs/2201.01388 (2022) - [i55]Ender Ayanoglu, Kemal Davaslioglu, Yalin E. Sagduyu:
Machine Learning in NextG Networks via Generative Adversarial Networks. CoRR abs/2203.04453 (2022) - [i53]Kemal Davaslioglu, Serdar Boztas, Mehmet Can Ertem, Yalin E. Sagduyu, Ender Ayanoglu:
Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning. CoRR abs/2207.03046 (2022) - [i52]Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu:
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems. CoRR abs/2211.01107 (2022) - 2021
- [j38]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing. IEEE Trans. Cogn. Commun. Netw. 7(1): 294-303 (2021) - [j36]Kemal Davaslioglu, Sohraab Soltani, Tugba Erpek, Yalin E. Sagduyu:
DeepWiFi: Cognitive WiFi with Deep Learning. IEEE Trans. Mob. Comput. 20(2): 429-444 (2021) - [c75]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers. ICC 2021: 1-6 - 2020
- [c70]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. ACSSC 2020: 763-767 - [c68]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. CISS 2020: 1-6 - [c67]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers. GLOBECOM (Workshops) 2020: 1-6 - [c65]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Over-the-air membership inference attacks as privacy threats for deep learning-based wireless signal classifiers. WiseML@WiSec 2020: 61-66 - [i33]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. CoRR abs/2002.02400 (2020) - [i32]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. CoRR abs/2005.05321 (2020) - [i30]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. CoRR abs/2005.07675 (2020) - [i27]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers. CoRR abs/2006.14576 (2020) - [i26]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing. CoRR abs/2007.08363 (2020) - [i25]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers. CoRR abs/2007.16204 (2020) - [i23]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers. CoRR abs/2012.02160 (2020) - 2019
- [c64]Kemal Davaslioglu, Bob Pokorny, Yalin E. Sagduyu, Henrik Molintas, Sohraab Soltani, Rebecca Grossman, Clint A. Bowers:
Measuring the Collective Allostatic Load. CogSIMA 2019: 93-99 - [c63]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu, William C. Headley, Michael Fowler, Gilbert Green:
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. DySPAN 2019: 1-10 - [c62]Kemal Davaslioglu, Yalin E. Sagduyu:
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning. DySPAN 2019: 1-6 - [c61]Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA. DySPAN 2019: 1-2 - [c59]Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. MILCOM 2019: 1-6 - [c58]Nof Abuzainab, Volkan Isler, Aylin Yener, Tugba Erpek, Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, Sharon J. Mackey, Mitesh P. Patel, Frank Panettieri, Muhammad A. Qureshi:
QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning. MILCOM 2019: 610-615 - [c56]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network for Wireless Signal Spoofing. WiseML@WiSec 2019: 55-60 - [i20]Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li:
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data. CoRR abs/1901.09113 (2019) - [i18]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network for Wireless Signal Spoofing. CoRR abs/1905.01008 (2019) - [i15]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu, William C. Headley, Michael Fowler, Gilbert Green:
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. CoRR abs/1909.11800 (2019) - [i14]Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. CoRR abs/1910.05765 (2019) - [i13]Nof Abuzainab, Tugba Erpek, Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, Sharon J. Mackey, Mitesh P. Patel, Frank Panettieri, Muhammad A. Qureshi, Volkan Isler, Aylin Yener:
QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning. CoRR abs/1910.05766 (2019) - [i12]Kemal Davaslioglu, Yalin E. Sagduyu:
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning. CoRR abs/1910.10766 (2019) - [i11]Kemal Davaslioglu, Sohraab Soltani, Tugba Erpek, Yalin E. Sagduyu:
DeepWiFi: Cognitive WiFi with Deep Learning. CoRR abs/1910.13315 (2019) - 2018
- [c55]Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Zhuo Lu, Jason H. Li:
Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies. ICC Workshops 2018: 1-6 - [c54]Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Learning for Spectrum Sensing. ICC 2018: 1-6 - [c53]Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li:
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data. ISSPIT 2018: 453-458 - [c52]Tugba Erpek, Yalin E. Sagduyu, Yi Shi, Maice Costa, Kemal Davaslioglu, Hao Han, Daniel Fayette, Eric Johnson, Elizabeth S. Bentley, Clif Banner:
Routing, Network Coding and TCP Support for Wideband HF Communications. MILCOM 2018: 157-162 - [p3]Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Renato Levy:
Vulnerability Detection and Analysis in Adversarial Deep Learning. Guide to Vulnerability Analysis for Computer Networks and Systems 2018: 211-234 - [i7]Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Learning for Spectrum Sensing. CoRR abs/1804.00709 (2018) - [i5]Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li:
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls. CoRR abs/1811.01811 (2018)
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