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Books and Theses
- 2019
[b1]Tugba Erpek:
Multi-layer Optimization Aspects of Deep Learning and MIMO-based Communication Systems. Virginia Tech, Blacksburg, VA, USA, 2019
Journal Articles
- 2024
- [j14]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) - [j13]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. IEEE Netw. 38(6): 72-80 (2024) - [j12]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. IEEE Trans. Netw. Sci. Eng. 11(6): 5668-5680 (2024) - 2023
- [j11]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) - [j10]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) - 2022
- [j9]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) - [j8]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) - [j7]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) - 2021
- [j6]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) - [j5]Kemal Davaslioglu, Sohraab Soltani, Tugba Erpek, Yalin E. Sagduyu:
DeepWiFi: Cognitive WiFi with Deep Learning. IEEE Trans. Mob. Comput. 20(2): 429-444 (2021) - 2019
- [j4]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) - [j3]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) - 2017
- [j2]Yalin E. Sagduyu, Sohraab Soltani, Tugba Erpek, Yi Shi, Jason H. Li:
A Unified Solution to Cognitive Radio Programming, Test and Evaluation for Tactical Communications. IEEE Commun. Mag. 55(10): 12-20 (2017) - 2011
- [j1]Tugba Erpek, Mark A. McHenry, Andrew Stirling:
Dynamic spectrum access operational parameters with wireless microphones. IEEE Commun. Mag. 49(3): 38-45 (2011)
Conference and Workshop Papers
- 2024
- [c39]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. DySPAN 2024: 57-62 - 2023
- [c38]Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus, Aylin Yener:
Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks. CISS 2023: 1-6 - [c37]D. J. Shyy, Cuong Luu, David Gabay, John D. Xu, David Bate, Lingjia Liu, Tugba Erpek:
Multi-Hop User Equipment (UE) to UE Relays for MANET/Mesh Leveraging 5G NR Sidelink. SEC 2023: 341-346 - [c36]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks. INFOCOM Workshops 2023: 1-6 - [c35]Yalin E. Sagduyu, Tugba Erpek:
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning. MILCOM 2023: 385-390 - [c34]Yalin E. Sagduyu, Tugba Erpek, Yi Shi:
Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution. MILCOM 2023: 815-820 - 2022
- [c33]Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu:
Autoencoder Communications with Optimized Interference Suppression for NextG RAN. FNWF 2022: 164-169 - [c32]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 - [c31]Brian Kim, Tugba Erpek, Yalin E. Sagduyu, Sennur Ulukus:
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. WCNC 2022: 411-416 - [c30]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 - 2021
- [c29]Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb, Aylin Yener:
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces. DySPAN 2021: 242-247 - [c28]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 - [c27]Xueyuan Wang, Mustafa Cenk Gursoy, Tugba Erpek, Yalin E. Sagduyu:
Collision-Aware UAV Trajectories for Data Collection via Reinforcement Learning. GLOBECOM 2021: 1-6 - [c26]Maice Costa, Yalin E. Sagduyu, Tugba Erpek, Muriel Médard:
Robust Improvement of the Age of Information by Adaptive Packet Coding. ICC 2021: 1-6 - [c25]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 - [c24]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 - [c23]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 - [c22]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 - 2020
- [c21]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 - [c20]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing. CAMAD 2020: 1-6 - [c19]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 - [c18]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 - 2019
- [c17]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 - [c16]Tugba Erpek, Sennur Ulukus, Yalin E. Sagduyu:
Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA). ICNC 2019: 950-954 - [c15]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 - [c14]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 - [c13]Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
IoT Network Security from the Perspective of Adversarial Deep Learning. SECON 2019: 1-9 - 2018
- [c12]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 - [c11]Tugba Erpek, Timothy J. O'Shea, T. Charles Clancy:
Learning a Physical Layer Scheme for the MIMO Interference Channel. ICC 2018: 1-5 - [c10]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 - [c9]Yi Shi, Tugba Erpek, Yalin E. Sagduyu, Jason H. Li:
Spectrum Data Poisoning with Adversarial Deep Learning. MILCOM 2018: 407-412 - [c8]Tugba Erpek, Yalin E. Sagduyu, Yi Shi, Satya Prakash Ponnaluri:
Rate Optimization with Distributed Network Coordination of Multiuser MIMO Communications. VTC Fall 2018: 1-5 - 2017
- [c7]Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy:
Physical layer deep learning of encodings for the MIMO fading channel. Allerton 2017: 76-80 - [c6]Timothy J. O'Shea, Tamoghna Roy, Tugba Erpek:
Spectral detection and localization of radio events with learned convolutional neural features. EUSIPCO 2017: 331-335 - [c5]Yalin E. Sagduyu, Yi Shi, Tugba Erpek, Sohraab Soltani, Sharon J. Mackey, Derya H. Cansever, Mitesh P. Patel, Bart F. Panettieri, Boleslaw K. Szymanski, Guohong Cao:
Multilayer MANET routing with social-cognitive learning. MILCOM 2017: 103-108 - 2016
- [c4]Satya Prakash Ponnaluri, Babak Azimi-Sadjadi, Yik-Kiong Hue, Tugba Erpek, Arash Komaee, Wade Trappe:
A practical wireless reciprocity-aware key establishment protocol. MILCOM 2016: 1107-1113 - [c3]Tugba Erpek, Ahmed Abdel-Hadi, T. Charles Clancy:
Application-aware resource block and power allocation for LTE. SysCon 2016: 1-5 - 2015
- [c2]Tugba Erpek, Ahmed Abdel-Hadi, T. Charles Clancy:
An optimal application-aware resource block scheduling in LTE. ICNC 2015: 275-279 - 2012
- [c1]Tugba Erpek, Karl Steadman, Ram Krishnan, Qiao Chen:
LTE signal classification and center frequency detection without Priori information. DySPAN 2012: 299-304
Parts in Books or Collections
- 2020
- [p1]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
Informal and Other Publications
- 2024
- [i41]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) - [i40]Kemal Davaslioglu, Sastry Kompella, Tugba Erpek, Yalin E. Sagduyu:
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation. CoRR abs/2410.10521 (2024) - 2023
- [i39]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks. CoRR abs/2301.05250 (2023) - [i38]Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus:
Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning. CoRR abs/2308.06884 (2023) - [i37]Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus:
Joint Sensing and Semantic Communications with Multi-Task Deep Learning. CoRR abs/2311.05017 (2023) - [i36]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) - [i35]Yalin E. Sagduyu, Tugba Erpek:
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning. CoRR abs/2312.16715 (2023) - [i34]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
- [i33]Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu:
End-to-End Autoencoder Communications with Optimized Interference Suppression. CoRR abs/2201.01388 (2022) - [i32]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks. CoRR abs/2204.03027 (2022) - [i31]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) - [i30]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) - 2021
- [i29]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) - [i28]Yalin E. Sagduyu, Tugba Erpek, Yi Shi:
Adversarial Machine Learning for 5G Communications Security. CoRR abs/2101.02656 (2021) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb, Aylin Yener:
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces. CoRR abs/2112.04441 (2021) - [i22]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
- [i21]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) - [i20]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) - [i19]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) - [i18]Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy:
Deep Learning for Wireless Communications. CoRR abs/2005.06068 (2020) - [i17]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) - [i16]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) - [i15]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) - [i14]Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing. CoRR abs/2009.06579 (2020) - [i13]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) - [i12]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) - 2019
- [i11]Tugba Erpek, Sennur Ulukus, Yalin E. Sagduyu:
Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA). CoRR abs/1901.03927 (2019) - [i10]Yi Shi, Tugba Erpek, Yalin E. Sagduyu, Jason H. Li:
Spectrum Data Poisoning with Adversarial Deep Learning. CoRR abs/1901.09247 (2019) - [i9]Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
IoT Network Security from the Perspective of Adversarial Deep Learning. CoRR abs/1906.00076 (2019) - [i8]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) - [i7]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) - [i6]Kemal Davaslioglu, Sohraab Soltani, Tugba Erpek, Yalin E. Sagduyu:
DeepWiFi: Cognitive WiFi with Deep Learning. CoRR abs/1910.13315 (2019) - [i5]Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks. CoRR abs/1911.00500 (2019) - 2018
- [i4]Tugba Erpek, Yalin E. Sagduyu, Yi Shi:
Deep Learning for Launching and Mitigating Wireless Jamming Attacks. CoRR abs/1807.02567 (2018) - 2017
- [i3]Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy:
Deep Learning Based MIMO Communications. CoRR abs/1707.07980 (2017) - 2015
- [i2]Tugba Erpek, Ahmed Abdel-Hadi, T. Charles Clancy:
Application-Aware Resource Block and Power Allocation for LTE. CoRR abs/1511.04814 (2015) - 2014
- [i1]Tugba Erpek, Ahmed Abdel-Hadi, T. Charles Clancy:
An Optimal Application-Aware Resource Block Scheduling in LTE. CoRR abs/1405.7446 (2014)
Coauthor Index
[j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c10] [c9] [c8] [c5] [p1] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4]
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