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ORCIDYalin E. Sagduyu
Yalin Evren Sagduyu
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- affiliation: Intelligent Automation Inc, Rockville, USA
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2020 – today
- 2024
[j52]Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus:
Joint Sensing and Semantic Communications with Multi-Task Deep Learning. IEEE Commun. Mag. 62(9): 74-81 (2024)- [c101]Maice Costa, Yalin E. Sagduyu:
Timely NextG Communications with Decoy Assistance against Deep Learning-based Jamming. ICC Workshops 2024: 554-559 - [e3]Minhoe Kim, Gihyuk Ko, Yalin E. Sagduyu, Yi Shi:
Proceedings of the 2024 ACM Workshop on Wireless Security and Machine Learning, WiseML 2024, Seoul, Republic of Korea, 30 May 2024. ACM 2024 [contents] - [i66]Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus:
Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing. CoRR abs/2401.01531 (2024) - 2023
- [j51]Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus, Aylin Yener:
Is Semantic Communication Secure? A Tale of Multi-Domain Adversarial Attacks. IEEE Commun. Mag. 61(11): 50-55 (2023) - [j50]Damilola Adesina
, Chung-Chu George Hsieh, Yalin E. Sagduyu, Lijun Qian:
Adversarial Machine Learning in Wireless Communications Using RF Data: A Review. IEEE Commun. Surv. Tutorials 25(1): 77-100 (2023) - [j49]Yi Shi, Maice Costa, Tugba Erpek, Yalin E. Sagduyu:
Deep Reinforcement Learning for NextG Radio Access Network Slicing With Spectrum Coexistence. IEEE Netw. Lett. 5(3): 149-153 (2023) - [j48]Maice Costa, Yalin E. Sagduyu:
Timely and covert communications under deep learning-based eavesdropping and jamming effects. J. Commun. Networks 25(5): 621-630 (2023) - [j47]Linsheng He, Fei Hu, Zhe Chu, Jiamiao Zhao, Yalin E. Sagduyu, Ngwe Thawdar, Sunil Kumar:
Intelligent Terahertz Medium Access Control (MAC) for Highly Dynamic Airborne Networks. IEEE Trans. Aerosp. Electron. Syst. 59(3): 2494-2512 (2023) - [j46]Yi Shi, Yalin E. Sagduyu:
Membership Inference Attack and Defense for Wireless Signal Classifiers With Deep Learning. IEEE Trans. Mob. Comput. 22(7): 4032-4043 (2023) - [j45]Yalin E. Sagduyu, Sennur Ulukus, Aylin Yener:
Task-Oriented Communications for NextG: End-to-end Deep Learning and AI Security Aspects. IEEE Wirel. Commun. 30(3): 52-60 (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) - [c100]Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus, Aylin Yener:
Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks. CISS 2023: 1-6 - [c99]Yalin E. Sagduyu, Sennur Ulukus, Aylin Yener:
Age of Information in Deep Learning-Driven Task-Oriented Communications. INFOCOM Workshops 2023: 1-6 - [c98]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks. INFOCOM Workshops 2023: 1-6 - [c97]Yalin E. Sagduyu, Tugba Erpek:
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning. MILCOM 2023: 385-390 - [c96]Yalin E. Sagduyu, Tugba Erpek, Yi Shi:
Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution. MILCOM 2023: 815-820 - [c95]Zhengping Jay Luo, Will A. Pitera, Shangqing Zhao, Zhuo Lu, Yalin E. Sagduyu:
How Can the Adversary Effectively Identify Cellular IoT Devices Using LSTM Networks? WiseML@WiSec 2023: 9-14 - [e2]Deniz Gündüz, Mohammad Malekzadeh, Melek Önen, Yalin E. Sagduyu, Yi Shi, Junqing Zhang:
Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning, WiseML2023, Guildford, United Kingdom, 1 June 2023. ACM 2023 [contents] - [i65]Yalin E. Sagduyu, Sennur Ulukus, Aylin Yener:
Age of Information in Deep Learning-Driven Task-Oriented Communications. CoRR abs/2301.04298 (2023) - [i64]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks. CoRR abs/2301.05250 (2023) - [i63]Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus:
Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning. CoRR abs/2308.06884 (2023) - [i62]Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus:
Joint Sensing and Semantic Communications with Multi-Task Deep Learning. CoRR abs/2311.05017 (2023) - [i61]Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus:
Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access. CoRR abs/2312.13931 (2023) - [i60]Yalin E. Sagduyu, Tugba Erpek:
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning. CoRR abs/2312.16715 (2023) - [i59]Yalin E. Sagduyu, Tugba Erpek, Yi Shi:
Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution. CoRR abs/2312.17164 (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) - [j42]Xueyuan Wang, Mustafa Cenk Gursoy, Tugba Erpek, Yalin E. Sagduyu:
Learning-Based UAV Path Planning for Data Collection With Integrated Collision Avoidance. IEEE Internet Things J. 9(17): 16663-16676 (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) - [j40]Zhengping Luo, Shangqing Zhao, Zhuo Lu, Jie Xu, Yalin E. Sagduyu:
When Attackers Meet AI: Learning-Empowered Attacks in Cooperative Spectrum Sensing. IEEE Trans. Mob. Comput. 21(5): 1892-1908 (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 - [c93]Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Mustafa Cenk Gursoy:
Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning. FNWF 2022: 397-402 - [c92]Yalin E. Sagduyu:
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks. CNS 2022: 365-370 - [c91]Yi Shi, Yalin E. Sagduyu:
How to Launch Jamming Attacks on Federated Learning in NextG Wireless Networks. GLOBECOM (Workshops) 2022: 945-950 - [c90]Tao Hou, Shengping Bi, Tao Wang, Zhuo Lu, Yao Liu, Satyajayant Misra, Yalin E. Sagduyu:
MUSTER: Subverting User Selection in MU-MIMO Networks. INFOCOM 2022: 140-149 - [c89]Yi Shi, Yalin E. Sagduyu:
Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing. MILCOM 2022: 13-18 - [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 - [c87]Yalin E. Sagduyu:
Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning. MILCOM 2022: 1076-1081 - [c86]Feng Wang, Mustafa Cenk Gursoy, Senem Velipasalar, Yalin E. Sagduyu:
Robust Deep Reinforcement Learning Based Network Slicing under Adversarial Jamming Attacks. PIMRC 2022: 752-757 - [c85]Brian Kim, Tugba Erpek, Yalin E. Sagduyu, Sennur Ulukus:
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. WCNC 2022: 411-416 - [c84]Michael Hegarty, Yalin E. Sagduyu, Tugba Erpek, Yi Shi:
Deep Learning for Spectrum Awareness and Covert Communications via Unintended RF Emanations. WiseML@WiSec 2022: 27-32 - [c83]Tao Hou, Tao Wang, Zhuo Lu, Yao Liu, Yalin E. Sagduyu:
Undermining Deep Learning Based Channel Estimation via Adversarial Wireless Signal Fabrication. WiseML@WiSec 2022: 63-68 - [i58]Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu:
End-to-End Autoencoder Communications with Optimized Interference Suppression. CoRR abs/2201.01388 (2022) - [i57]Tao Hou, Tao Wang, Zhuo Lu, Yao Liu, Yalin E. Sagduyu:
IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification. CoRR abs/2201.03281 (2022) - [i56]Yi Shi, Yalin E. Sagduyu:
Jamming Attacks on Federated Learning in Wireless Networks. CoRR abs/2201.05172 (2022) - [i55]Ender Ayanoglu, Kemal Davaslioglu, Yalin E. Sagduyu:
Machine Learning in NextG Networks via Generative Adversarial Networks. CoRR abs/2203.04453 (2022) - [i54]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks. CoRR abs/2204.03027 (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) - [i51]Yalin E. Sagduyu, Sennur Ulukus, Aylin Yener:
Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspects. CoRR abs/2212.09668 (2022) - [i50]Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus, Aylin Yener:
Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks. CoRR abs/2212.10438 (2022) - [i49]Yalin E. Sagduyu:
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks. CoRR abs/2212.11194 (2022) - [i48]Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus, Aylin Yener:
Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks. CoRR abs/2212.11205 (2022) - [i47]Yalin E. Sagduyu:
Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning. CoRR abs/2212.11778 (2022) - [i46]Yi Shi, Yalin E. Sagduyu:
Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing. CoRR abs/2212.13598 (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) - [j37]Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks. IEEE Trans. Mob. Comput. 20(2): 306-319 (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) - [c82]Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb, Aylin Yener:
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces. DySPAN 2021: 242-247 - [c81]Tao Hou, Tao Wang, Zhuo Lu, Yao Liu, Yalin E. Sagduyu:
IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification. DySPAN 2021: 280-287 - [c80]Brian Kim, Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus:
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications. GLOBECOM (Workshops) 2021: 1-6 - [c79]Xueyuan Wang, Mustafa Cenk Gursoy, Tugba Erpek, Yalin E. Sagduyu:
Collision-Aware UAV Trajectories for Data Collection via Reinforcement Learning. GLOBECOM 2021: 1-6 - [c78]Yi Shi, Yalin E. Sagduyu:
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing. ICC Workshops 2021: 1-6 - [c77]Nof Abuzainab, Muhammad Alrabeiah, Ahmed Alkhateeb, Yalin E. Sagduyu:
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction. ICC Workshops 2021: 1-6 - [c76]Maice Costa, Yalin E. Sagduyu, Tugba Erpek, Muriel Médard:
Robust Improvement of the Age of Information by Adaptive Packet Coding. ICC 2021: 1-6 - [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 - [c74]Xueyuan Wang, Mustafa Cenk Gursoy, Tugba Erpek, Yalin E. Sagduyu:
Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning. ICC Workshops 2021: 1-6 - [c73]Tarun S. Cousik, Vijay K. Shah, Jeffrey H. Reed, Tugba Erpek, Yalin E. Sagduyu:
Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks. MILCOM 2021: 664-669 - [c72]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus:
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G And Beyond. SSP 2021: 590-594 - [c71]Zhengping Luo, Shangqing Zhao, Rui Duan, Zhuo Lu, Yalin E. Sagduyu, Jie Xu:
Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing. WiseML@WiSec 2021: 55-60 - [i45]Tarun S. Cousik, Vijay K. Shah, Tugba Erpek, Yalin E. Sagduyu, Jeffrey H. Reed:
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks. CoRR abs/2101.01847 (2021) - [i44]Yalin E. Sagduyu, Tugba Erpek, Yi Shi:
Adversarial Machine Learning for 5G Communications Security. CoRR abs/2101.02656 (2021) - [i43]Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Mustafa Cenk Gursoy:
How to Attack and Defend 5G Radio Access Network Slicing with Reinforcement Learning. CoRR abs/2101.05768 (2021) - [i42]Yi Shi, Yalin E. Sagduyu:
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing. CoRR abs/2101.08724 (2021) - [i41]Nof Abuzainab, Muhammad Alrabeiah, Ahmed Alkhateeb, Yalin E. Sagduyu:
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction. CoRR abs/2102.11222 (2021) - [i40]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus:
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond. CoRR abs/2103.13989 (2021) - [i39]Xueyuan Wang, Mustafa Cenk Gursoy, Tugba Erpek, Yalin E. Sagduyu:
Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning. CoRR abs/2104.04477 (2021) - [i38]Yi Shi, Yalin E. Sagduyu:
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning. CoRR abs/2107.12173 (2021) - [i37]Brian Kim, Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus:
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications. CoRR abs/2109.08139 (2021) - [i36]Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb, Aylin Yener:
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces. CoRR abs/2112.04441 (2021) - [i35]Brian Kim, Tugba Erpek, Yalin E. Sagduyu, Sennur Ulukus:
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. CoRR abs/2112.11414 (2021) - 2020
- [j35]Yi Shi, Yalin E. Sagduyu:
Coherent Communications in Self-Organizing Networks With Distributed Beamforming. IEEE Trans. Veh. Technol. 69(1): 760-770 (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 - [c69]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing. CAMAD 2020: 1-6 - [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 - [c66]Zhengping Luo, Shangqing Zhao, Zhuo Lu, Yalin E. Sagduyu, Jie Xu:
Adversarial machine learning based partial-model attack in IoT. WiseML@WiSec 2020: 13-18 - [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 - [p4]Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy:
Deep Learning for Wireless Communications. Development and Analysis of Deep Learning Architectures 2020: 223-266 - [i34]Yalin E. Sagduyu, Yi Shi, Tugba Erpek, William C. Headley, Bryse Flowers, George Stantchev, Zhuo Lu:
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions. CoRR abs/2001.08883 (2020) - [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) - [i31]Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy:
Deep Learning for Wireless Communications. CoRR abs/2005.06068 (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) - [i29]Tarun S. Cousik, Vijay K. Shah, Jeffrey H. Reed, Tugba Erpek, Yalin E. Sagduyu:
Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks. CoRR abs/2006.12653 (2020) - [i28]Zhengping Luo, Shangqing Zhao, Zhuo Lu, Yalin E. Sagduyu, Jie Xu:
Adversarial Machine Learning based Partial-model Attack in IoT. CoRR abs/2006.14146 (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) - [i24]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing. CoRR abs/2009.06579 (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) - [i22]Maice Costa, Yalin E. Sagduyu, Tugba Erpek, Muriel Médard:
Robust Improvement of the Age of Information by Adaptive Packet Coding. CoRR abs/2012.05172 (2020)
2010 – 2019
- 2019
- [j34]Tugba Erpek, Yalin E. Sagduyu, Yi Shi, Satya Prakash Ponnaluri:
Network control and rate optimization for multiuser MIMO communications. Ad Hoc Networks 85: 92-102 (2019) - [j33]Maice Costa, Yalin E. Sagduyu:
Age of Information with network coding. Ad Hoc Networks 86: 15-22 (2019) - [j32]Tugba Erpek, Yalin E. Sagduyu, Yi Shi:
Deep Learning for Launching and Mitigating Wireless Jamming Attacks. IEEE Trans. Cogn. Commun. Netw. 5(1): 2-14 (2019) - [j31]Zhuo Lu, Yalin E. Sagduyu, Yi Shi:
Integrating Social Links into Wireless Networks: Modeling, Routing, Analysis, and Evaluation. IEEE Trans. Mob. Comput. 18(1): 111-124 (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 - [c60]Tugba Erpek, Sennur Ulukus, Yalin E. Sagduyu:
Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA). ICNC 2019: 950-954 - [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 - [c57]