Dynamic spectrum access operational parameters with wireless microphones. - Tugba Erpek; Mark A. McHenry; Andrew Stirling (IEEE Commun. Mag., 2011)

LTE signal classification and center frequency detection without Priori information. - Tugba Erpek; Karl Steadman; Ram Krishnan; Qiao Chen (DySPAN, 2012)

An optimal application-aware resource block scheduling in LTE. - Tugba Erpek; Ahmed Abdel-Hadi; T. Charles Clancy (ICNC, 2015)

A practical wireless reciprocity-aware key establishment protocol. - Satya Prakash Ponnaluri; Babak Azimi-Sadjadi; Yik-Kiong Hue; Tugba Erpek; Arash Komaee; Wade Trappe (MILCOM, 2016)

Application-aware resource block and power allocation for LTE. - Tugba Erpek; Ahmed Abdel-Hadi; T. Charles Clancy (SysCon, 2016)

Physical layer deep learning of encodings for the MIMO fading channel. - Timothy J. O'Shea; Tugba Erpek; T. Charles Clancy (Allerton, 2017)

Spectral detection and localization of radio events with learned convolutional neural features. - Timothy J. O'Shea; Tamoghna Roy; Tugba Erpek (EUSIPCO, 2017)

Multilayer MANET routing with social-cognitive learning. - Yalin E. Sagduyu; Yi Shi 001; Tugba Erpek; Sohraab Soltani; Sharon J. Mackey; Derya H. Cansever; Mitesh P. Patel; Bart F. Panettieri; Boleslaw K. Szymanski; Guohong Cao (MILCOM, 2017)

A Unified Solution to Cognitive Radio Programming, Test and Evaluation for Tactical Communications. - Yalin E. Sagduyu; Sohraab Soltani; Tugba Erpek; Yi Shi 001; Jason H. Li (IEEE Commun. Mag., 2017)

Deep Learning Based MIMO Communications. - Timothy J. O'Shea; Tugba Erpek; T. Charles Clancy (CoRR, 2017)

Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies. - Yi Shi 001; Yalin E. Sagduyu; Tugba Erpek; Kemal Davaslioglu; Zhuo Lu; Jason H. Li (ICC Workshops, 2018)

Learning a Physical Layer Scheme for the MIMO Interference Channel. - Tugba Erpek; Timothy J. O'Shea; T. Charles Clancy (ICC, 2018)

Spectrum Data Poisoning with Adversarial Deep Learning. - Yi Shi 001; Tugba Erpek; Yalin E. Sagduyu; Jason H. Li (MILCOM, 2018)

Routing, Network Coding and TCP Support for Wideband HF Communications. - Tugba Erpek; Yalin E. Sagduyu; Yi Shi 001; Maice Costa; Kemal Davaslioglu; Hao Han; Daniel Fayette; Eric Johnson; Elizabeth S. Bentley; Clif Banner (MILCOM, 2018)

Rate Optimization with Distributed Network Coordination of Multiuser MIMO Communications. - Tugba Erpek; Yalin E. Sagduyu; Yi Shi 001; Satya Prakash Ponnaluri (VTC Fall, 2018)

Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA. - Sohraab Soltani; Yalin E. Sagduyu; Raqibul Hasan; Kemal Davaslioglu; Hongmei Deng 001; Tugba Erpek (DySPAN, 2019)

Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA). - Tugba Erpek; Sennur Ulukus; Yalin E. Sagduyu (ICNC, 2019)

QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning. - Nof Abuzainab; Volkan Isler; Aylin Yener; Tugba Erpek; Kemal Davaslioglu; Yalin E. Sagduyu; Yi Shi 001; Sharon J. Mackey; Mitesh P. Patel; Frank Panettieri; Muhammad A. Qureshi (MILCOM, 2019)

Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. - Sohraab Soltani; Yalin E. Sagduyu; Raqibul Hasan; Kemal Davaslioglu; Hongmei Deng 001; Tugba Erpek (MILCOM, 2019)

IoT Network Security from the Perspective of Adversarial Deep Learning. - Yalin E. Sagduyu; Yi Shi 001; Tugba Erpek (SECON, 2019)

Network control and rate optimization for multiuser MIMO communications. - Tugba Erpek; Yalin E. Sagduyu; Yi Shi 001; Satya Prakash Ponnaluri (Ad Hoc Networks, 2019)

Deep Learning for Launching and Mitigating Wireless Jamming Attacks. - Tugba Erpek; Yalin E. Sagduyu; Yi Shi 001 (IEEE Trans. Cogn. Commun. Netw., 2019)

Multi-layer Optimization Aspects of Deep Learning and MIMO-based Communication Systems. - Tugba Erpek (2019)

How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. - Brian Kim; Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sennur Ulukus (ACSSC, 2020)

Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing. - Yi Shi 001; Yalin E. Sagduyu; Tugba Erpek (CAMAD, 2020)

Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. - Brian Kim; Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sennur Ulukus (CISS, 2020)

Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers. - Brian Kim; Yalin E. Sagduyu; Tugba Erpek; Kemal Davaslioglu; Sennur Ulukus (GLOBECOM (Workshops), 2020)

When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions. - Yalin E. Sagduyu; Yi Shi 001; Tugba Erpek; William C. Headley; Bryse Flowers; George Stantchev; Zhuo Lu (CoRR, 2020)

Deep Learning for Wireless Communications. - Tugba Erpek; Timothy J. O'Shea; Yalin E. Sagduyu; Yi Shi 001; T. Charles Clancy (CoRR, 2020)

Deep Learning for Wireless Communications. - Tugba Erpek; Timothy J. O'Shea; Yalin E. Sagduyu; Yi Shi 001; T. Charles Clancy (Development and Analysis of Deep Learning Architectures, 2020)

Autoencoder-based Communications with Reconfigurable Intelligent Surfaces. - Tugba Erpek; Yalin E. Sagduyu; Ahmed Alkhateeb; Aylin Yener (DySPAN, 2021)

Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications. - Brian Kim; Yi Shi 001; Yalin E. Sagduyu; Tugba Erpek; Sennur Ulukus (GLOBECOM (Workshops), 2021)

Collision-Aware UAV Trajectories for Data Collection via Reinforcement Learning. - Xueyuan Wang; Mustafa Cenk Gursoy; Tugba Erpek; Yalin E. Sagduyu (GLOBECOM, 2021)

Robust Improvement of the Age of Information by Adaptive Packet Coding. - Maice Costa; Yalin E. Sagduyu; Tugba Erpek; Muriel Médard (ICC, 2021)

Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers. - Brian Kim; Yalin E. Sagduyu; Tugba Erpek; Kemal Davaslioglu; Sennur Ulukus (ICC, 2021)

Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning. - Xueyuan Wang; Mustafa Cenk Gursoy; Tugba Erpek; Yalin E. Sagduyu (ICC Workshops, 2021)

Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks. - Tarun S. Cousik; Vijay K. Shah; Jeffrey H. Reed; Tugba Erpek; Yalin E. Sagduyu (MILCOM, 2021)

Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G And Beyond. - Brian Kim; Yalin E. Sagduyu; Tugba Erpek; Sennur Ulukus (SSP, 2021)

Adversarial Machine Learning for 5G Communications Security. - Yalin E. Sagduyu; Tugba Erpek; Yi Shi 001 (CoRR, 2021)

How to Attack and Defend 5G Radio Access Network Slicing with Reinforcement Learning. - Yi Shi 001; Yalin E. Sagduyu; Tugba Erpek; Mustafa Cenk Gursoy (CoRR, 2021)

DeepWiFi: Cognitive WiFi with Deep Learning. - Kemal Davaslioglu; Sohraab Soltani; Tugba Erpek; Yalin E. Sagduyu (IEEE Trans. Mob. Comput., 2021)

Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks. - Yalin E. Sagduyu; Yi Shi 001; Tugba Erpek (IEEE Trans. Mob. Comput., 2021)

Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning. - Yi Shi 001; Yalin E. Sagduyu; Tugba Erpek; Mustafa Cenk Gursoy (FNWF, 2022)

Autoencoder Communications with Optimized Interference Suppression for NextG RAN. - Kemal Davaslioglu; Tugba Erpek; Yalin E. Sagduyu (FNWF, 2022)

Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. - Brian Kim; Tugba Erpek; Yalin E. Sagduyu; Sennur Ulukus (WCNC, 2022)

Deep Learning for Spectrum Awareness and Covert Communications via Unintended RF Emanations. - Michael Hegarty; Yalin E. Sagduyu; Tugba Erpek; Yi Shi 001 (WiseML@WiSec, 2022)

End-to-End Autoencoder Communications with Optimized Interference Suppression. - Kemal Davaslioglu; Tugba Erpek; Yalin E. Sagduyu (CoRR, 2022)

Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks. - Yi Shi 001; Yalin E. Sagduyu; Tugba Erpek (CoRR, 2022)

Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks. - Yalin E. Sagduyu; Tugba Erpek; Sennur Ulukus; Aylin Yener (CoRR, 2022)

Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas. - Brian Kim; Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sennur Ulukus (Entropy, 2022)

Learning-Based UAV Path Planning for Data Collection With Integrated Collision Avoidance. - Xueyuan Wang; Mustafa Cenk Gursoy; Tugba Erpek; Yalin E. Sagduyu (IEEE Internet Things J., 2022)

Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. - Brian Kim; Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sennur Ulukus (IEEE Trans. Wirel. Commun., 2022)

Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks. - Yalin E. Sagduyu; Tugba Erpek; Sennur Ulukus; Aylin Yener (CISS, 2023)

Multi-Hop User Equipment (UE) to UE Relays for MANET/Mesh Leveraging 5G NR Sidelink. - D. J. Shyy 001; Cuong Luu; David Gabay; John D. Xu; David Bate; Lingjia Liu 001; Tugba Erpek (SEC, 2023)

Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks. - Yi Shi 001; Yalin E. Sagduyu; Tugba Erpek (INFOCOM Workshops, 2023)

Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning. - Yalin E. Sagduyu; Tugba Erpek (MILCOM, 2023)

Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution. - Yalin E. Sagduyu; Tugba Erpek; Yi Shi 001 (MILCOM, 2023)

Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning. - Yalin E. Sagduyu; Tugba Erpek; Aylin Yener; Sennur Ulukus (CoRR, 2023)

Deep Reinforcement Learning for NextG Radio Access Network Slicing With Spectrum Coexistence. - Yi Shi 001; Maice Costa; Tugba Erpek; Yalin E. Sagduyu (IEEE Netw. Lett., 2023)

Is Semantic Communication Secure? A Tale of Multi-Domain Adversarial Attacks. - Yalin E. Sagduyu; Tugba Erpek; Sennur Ulukus; Aylin Yener (IEEE Commun. Mag., 2023)

Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access. - Yalin E. Sagduyu; Tugba Erpek; Aylin Yener; Sennur Ulukus (DySPAN, 2024)

Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation. - Kemal Davaslioglu; Sastry Kompella; Tugba Erpek; Yalin E. Sagduyu (MILCOM, 2024)

I-SCOUT: Integrated Sensing and Communications to Uncover Moving Targets in NextG Networks. - Utku Demir; Kemal Davaslioglu; Yalin E. Sagduyu; Tugba Erpek; Gustave Anderson; Sastry Kompella (MILCOM, 2024)

Low-Latency Task-Oriented Communications with Multi-Round, Multi-Task Deep Learning. - Yalin E. Sagduyu; Tugba Erpek; Aylin Yener; Sennur Ulukus (MobiCom, 2024)

Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks. - Tarun S. Cousik; Vijay K. Shah; Tugba Erpek; Yalin E. Sagduyu; Jeffrey H. Reed (IEEE Trans. Netw. Sci. Eng., 2024)

Joint Sensing and Semantic Communications with Multi-Task Deep Learning. - Yalin E. Sagduyu; Tugba Erpek; Aylin Yener; Sennur Ulukus (IEEE Commun. Mag., 2024)

Will 6G Be Semantic Communications? Opportunities and Challenges From Task Oriented and Secure Communications to Integrated Sensing. - Yalin E. Sagduyu; Tugba Erpek; Aylin Yener; Sennur Ulukus (IEEE Netw., 2024)

Relay Selection and User Equipment Admission in Resource-Efficient NextG Sidelink Communications. - Yalin E. Sagduyu; Tugba Erpek; Sastry Kompella; Kemal Davaslioglu (CISS, 2025)

Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats. - Utku Demir; Yalin E. Sagduyu; Tugba Erpek; Hossein Jafari 009; Sastry Kompella; Mengran Xue (CoRR, 2025)

Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning. - Yalin E. Sagduyu; Tugba Erpek (IEEE Internet Things J., 2025)

MULTI-SCOUT: Multistatic Integrated Sensing and Communications in 5G and Beyond for Moving Target Detection, Positioning, and Tracking. - Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sastry Kompella; Gustave Anderson; Jonathan Ashdown (CoRR, 2025)