Publications
List of publications is given below. Please visit Google Scholar and ResearchGate for more updates.
Journal Papers
Y. E. Sagduyu, T. Erpek, S. Ulukus, and A. Yener, "Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks," IEEE Communications Magazine, 2023
Y. E. Sagduyu, S. Ulukus, and A. Yener, "Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspects," IEEE Wireless Communications, 2023.
M. Costa and Y. E. Sagduyu, "Timely and Covert Communications under Deep Learning-Based Eavesdropping and Jamming Effects," Journal of Communications and Networks, 2023.
Y. Shi, M. Costa, T. Erpek, and Y. E. Sagduyu, "Deep Reinforcement Learning for 5G Radio Access Network Slicing with Spectrum Coexistence," IEEE Networking Letters, 2023 (longer version is available at TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.16632526.v1).
K. Davaslioglu, S. Boztas, M. C. Ertem, Y. E. Sagduyu, and E. Ayanoglu, "Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning," IEEE Wireless Communications Letters, 2022.
Y. Shi, Y. E. Sagduyu, T. Erpek, M. C. Gursoy, "How to Attack and Defend NextG Radio Access Network Slicing with Reinforcement Learning," IEEE Open Journal of Vehicular Technology, 2022.
T. S. Cousik, V. K. Shah, J. H. Reed, T. Erpek, and Y. E. Sagduyu, "Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks," IEEE Transactions on Network Science and Engineering, 2022.
L. He, F. Hu, Z. Chu, J. Zhao, N. Abuzaninab, Y. E. Sagduyu, N. Thawdar, and S. Kumar. "Intelligent Terahertz Medium Access Control (MAC) for Highly Dynamic Airborne Networks." IEEE Transactions on Aerospace and Electronic Systems, 2022.
D. Adesina, C. C. Hsieh, Y. E. Sagduyu, and L. Qian, "Adversarial Machine Learning in Wireless Communications using RF Data: A Review," IEEE Communications Surveys & Tutorials, 2022.
Y. Shi and Y. E. Sagduyu, "Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning," IEEE Transactions on Mobile Computing, 2022.
B. Kim, Y. E. Sagduyu, K. Davaslioglu, T. Erpek, and S. Ulukus, "Adversarial Machine Learning for NextG Covert Communications using Multiple Antennas," Entropy 24, no. 8: 1047, 2022.
E. Ayanoglu, K. Davaslioglu, Y. E. Sagduyu, "Machine Learning in NextG Networks via Generative Adversarial Networks," IEEE Transactions on Cognitive Communications and Networking, June 2022.
X. Wang, M. C. Gursoy, T. Erpek and Y. E. Sagduyu, "Learning-Based UAV Path Planning for Data Collection with Integrated Collision Avoidance," IEEE Internet of Things Journal, vol. 9, no. 17, Sept. 2022.
B. Kim, Y. E. Sagduyu, K. Davaslioglu, T. Erpek, and S. Ulukus, "Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers," IEEE Transactions on Wireless Communications, June 2022.
Z. Luo, S. Zhao, Z. Lu, J. Xu, and Y. E. Sagduyu, "When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing," IEEE Transactions on Mobile Computing, May 2022.
Y. Shi, K. Davaslioglu, and Y. E. Sagduyu, "Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing," IEEE Transactions on Cognitive Communications and Networking, Mar. 2021.
Y. E. Sagduyu, Y. Shi, and T. Erpek, "Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks," IEEE Transactions on Mobile Computing, Feb. 2021.
K. Davaslioglu, S. Soltani, T. Erpek, and Y. E. Sagduyu, “DeepWiFi: Cognitive WiFi with Deep Learning,” IEEE Transactions on Mobile Computing, Feb. 2021.
Y. Shi and Y. E. Sagduyu, "Coherent Communications in Self-Organizing Networks with Distributed Beamforming," IEEE Transactions on Vehicular Technology, Jan. 2020.
R. Theagarajan, B. Bhanu, T. Erpek, Y.-K. Hue, R. Schwieterman, K. Davaslioglu, Y. Shi, and Y. E. Sagduyu, "Integrating Deep learning-based Data driven and Model-based Approaches for Inverse Synthetic Aperture Radar Target Recognition," Optical Engineering Journal, Apr. 2020.
T. Erpek, Y. E. Sagduyu, and Y. Shi, "Deep Learning for Launching and Mitigating Wireless Jamming Attacks," IEEE Transactions on Cognitive Communications and Networking, Mar. 2019.
K. Davaslioglu, B. Pokorny, Y. E. Sagduyu, H. Molintas, S. Soltani, R. Grossman, and C. Bowers, "Collective Allostatic Load Measures for Teams," Journal of Structural Health Monitoring, 2019.
Z. Lu, Y. E. Sagduyu, and Y. Shi, "Integrating Social Links into Wireless Networks: Modeling, Routing, Analysis and Evaluation," IEEE Transactions on Mobile Computing, Jan. 2019.
M. Costa and Y. E. Sagduyu, "Age of Information with Network Coding," Ad Hoc Networks Journal, Apr. 2019, available online at https://www.sciencedirect.com/science/article/abs/pii/S1570870518302877.
T. Erpek, Y. E. Sagduyu, Y. Shi, and S. Ponnaluri, "Network Control and Rate Optimization for Multiuser MIMO Communications," Ad Hoc Networks Journal, Apr. 2019, available online at https://www.sciencedirect.com/science/article/abs/pii/S1570870518302890.
Y. E. Sagduyu, A. Grushin, and Y. Shi, "Synthetic Social Media Data Generation," IEEE Transactions on Computational Social Systems, Aug. 2018.
Y. E. Sagduyu, Y. Shi, S. Ponnaluri, S. Soltani, J. Li, R. Riley, C. Banner, and G. Heinen, "Optimal Network-Centric Planning for Airborne Relay Communications," IEEE Systems Journal, Dec. 2018.
Y. E. Sagduyu, Y. Shi, A. B. MacKenzie, and T. Hou, “Regret Minimization for Primary/Secondary Access to Satellite Resources with Cognitive Interference," IEEE Transactions on Wireless Communications, May 2018.
Y. E. Sagduyu, S. Soltani, T. Erpek, Y. Shi and J. Li, "A Unified Solution to Cognitive Radio Programming, Test and Evaluation for Tactical Communications," IEEE Communications Magazine, Oct. 2017.
Z. Lu, Y. E. Sagduyu, and J. Li, "Securing the Backpressure Algorithm for Wireless Networks," IEEE Transactions on Mobile Computing, Apr. 2017.
Y. E. Sagduyu, Y. Shi, A. Fanous and J. H. Li, "Wireless Network Inference and Optimization: Algorithm Design and Implementation," IEEE Transactions on Mobile Computing, Jan. 2017.
Y. E. Sagduyu, Y. Shi, and K. Neema, "Search in Combined Social and Wireless Communication Networks: Delay and Success Analysis," IEEE Transactions on Wireless Communications, Sep. 2015.
Y. Shi, Y. E. Sagduyu, J. Zhang, and J. H. Li, "Adaptive Coding Optimization in Wireless Networks: Design and Implementation Aspects," IEEE Transactions on Wireless Communications, Oct. 2015.
L. Yang, Y. E. Sagduyu, J. Zhang, and J. Li, "Deadline-aware Scheduling with Adaptive Network Coding for Real-time Traffic," IEEE Transactions on Networking, Oct. 2015.
Y. E. Sagduyu and Y. Shi, "Navigating a Mobile Social Network," IEEE Wireless Communications Magazine, Oct. 2015.
K. J. Kwak, Y. E. Sagduyu, J. Yackoski, B. Azimi-Sadjadi, A. Namazi, J. Deng, and J. Li, "Airborne Network Evaluation: Challenges and High Fidelity Emulation Solution," IEEE Communications Magazine, Oct. 2014.
A. Fanous, Y. E. Sagduyu, and A. Ephremides, "Reliable Spectrum Sensing and Opportunistic Access in Network-Coded Communications," IEEE Journal on Selected Areas in Communications, Cognitive Radio Series, Mar. 2014.
Y. Shi, Y. E. Sagduyu, and J. H. Li, "Multi-layer Optimization with Backpressure and Genetic Algorithms for Multi-hop Wireless Networks," Springer Journal of Wireless Networks, December 2013.
Y. E. Sagduyu, R. Berry, and D. Guo, "Throughput and Stability for Relay-Assisted Wireless Broadcast with Network Coding," IEEE Journal on Selected Areas in Communications, Special Issue on Theories and Methods for Advanced Wireless Relays, Aug. 2013.
Y. E. Sagduyu, L. Georgiadis, L. Tassiulas, and A. Ephremides, "Capacity and Stable Throughput Regions for Broadcast Erasure Channel with Feedback -An Unusual Union-," IEEE Transactions on Information Theory, May 2013.
L. Yang, Y. E. Sagduyu, J. Zhang, and J. H. Li, "Distributed Stochastic Power Control in Ad Hoc Networks: A Nonconvex Optimization Case,” EURASIP Journal on Wireless Communications and Networking, 2012.
S. Wang, Y. E. Sagduyu, J. Zhang, and J. H. Li, "The Impact of Induced Spectrum Predictability via Wireless Network Coding," IEEE Transactions on Vehicular Technology, Feb. 2012.
Y. E. Sagduyu, R. Berry, and A. Ephremides, "Jamming Games in Wireless Networks with Incomplete Information," IEEE Communications Magazine, Aug. 2011.
E. Ciftcioglu, Y. E. Sagduyu, R. Berry, and A. Yener, "Cost-Delay Tradeoffs for Two-Way Relay Networks,” IEEE Transactions on Wireless Communications, Dec. 2011.
Y. E. Sagduyu and A. Ephremides, "On Broadcast Stability of Queue-based Dynamic Network Coding over Erasure Channels," IEEE Transactions on Information Theory, vol. 55, no. 12, pp. 5463-5478, Dec. 2009.
M. Riemensberger, Y. E. Sagduyu, M. L. Honig, and W. Utschick, "Training Overhead for Decoding Random Linear Network Codes in Wireless Networks," IEEE Journal on Selected Areas in Communications, vol. 27, no. 5, pp. 729-737, June 2009.
Y. E. Sagduyu and A. Ephremides, "A Game-Theoretic Analysis of Denial of Service Attacks in Wireless Random Access," Journal of Wireless Networks, vol. 15, pp. 651-666, July 2009.
Y. E. Sagduyu and A. Ephremides, "Cross-Layer Optimization of MAC and Network Coding in Wireless Queueing Tandem Networks,"IEEE Transactions on Information Theory, vol. 54, no. 2, pp. 554-571, Feb. 2008.
Y. E. Sagduyu and A. Ephremides, "On Joint MAC and Network Coding in Wireless Ad Hoc Networks," IEEE Transactions on Information Theory, vol. 53, no. 10, pp. 3697-3713, Oct. 2007.
Y. E. Sagduyu and A. Ephremides, "A Game-Theoretic Look at Simple Relay Channel," ACM/Kluwer Journal of Wireless Networks, vol. 12, no. 5, pp. 545-560, Oct. 2006.
Y. E. Sagduyu and A. Ephremides, "Energy-Efficient MAC in Ad Hoc Networks Inspired by Conflict Resolution Concepts," Inaugural Issue of Elsevier ADHOC Journal, 2003.
D.P. O'Leary and Y. E. Sagduyu, "Robot Control: Swinging Like a Pendulum," IEEE Computing in Science and Engineering. July/August 2003 (also appeared as a book chapter).
Y. E. Sagduyu and A. Ephremides,"The Problem of Medium Access Control in Wireless Sensor Networks," IEEE Wireless Communications Magazine, Dec. 2004.
Book Chapters
Y. E. Sagduyu, Y. Shi, T. Erpek, W. Headley, B. Flowers, G. Stantchev, Z. Lu, and B. Jalaian, "Adversarial Machine Learning: A New Threat Paradigm for Next-Generation Wireless Communications," AI, Machine Learning and Deep Learning A Security Perspective, CRC Press, 2023.
Y. E. Sagduyu, T. Erpek, and Y. Shi, "Adversarial Machine Learning for 5G Communications Security," Game Theory and Machine Learning for Cyber Security, IEEE Press-Wiley, 2021.
T. Erpek, T. O'Shea, Y. E. Sagduyu, Y. Shi, and T. C. Clancy, "Deep Learning for Wireless Communications" in Development and Analysis of Deep Learning Architectures, Springer, 2020.
Y. Shi, Y. E. Sagduyu, K. Davaslioglu, and R. Levy, "Vulnerability Detection and Analysis in Adversarial Deep Learning," in Guide to Vulnerability Analysis for Computer Networks and Systems - An Artificial Intelligence Approach. Computer Communications and Networks. Springer, Cham, 2018. Available online at: https://link.springer.com/chapter/10.1007/978-3-319-92624-7_9
A. Sathanur, M. Halappanavar, Y. Shi, and Y. E. Sagduyu, "Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks," Social Network Analysis Lecture Notes Series, Social Network Based Big Data Analysis and Applications, Springer, 2018.
S. Luo, Y. E. Sagduyu, and J. H. Li, "Scented Node Protocol for MANET Routing," Biologically Inspired Networking and Sensing: Algorithms and Architectures, IGI, 2011, Editors: Pietro Lio and Dinesh C. Verma.
Conference Papers
Y. E. Sagduyu, T. Erpek, A. Yener, and S. Ulukus, "Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning," IEEE Future Networks World Forum, 2023.
Y. E. Sagduyu and T. Erpek, "Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection With Deep Learning," IEEE Military Communications (MILCOM), 2023.
Y. E. Sagduyu, T. Erpek, and Y. Shi, "Securing NextG Systems Against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution," IEEE Military Communications (MILCOM), 2023.
Y. E. Sagduyu, S. Ulukus, and A. Yener, "Age of Information in Deep Learning-Driven Task-Oriented Communications," IEEE INFOCOM Age of Information (AOI) Workshop, 2023.
Y. E. Sagduyu, Y. Shi, and T. Erpek, "Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks," IEEE INFOCOM Wireless-Sec: 5G and Beyond Wireless Security Workshop, 2023.
Z. J. Luo, W. A. Pitera, S. Zhao, Z. Lu, and Y. E. Sagduyu, "How Can the Adversary Effectively Identify Cellular IoT Devices Using LSTM Networks?," ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) Workshop on Wireless Security and Machine Learning (WiseML), 2023.
Y. E. Sagduyu, T. Erpek, S. Ulukus, and A. Yener, "Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks ," Conference on Information Sciences and Systems (CISS), 2023.
Y. Shi and Y. E. Sagduyu, "How to Launch Jamming Attacks on Federated Learning in NextG Wireless Networks," IEEE Globecom Workshops (GC Wkshps): The Seventh IEEE Workshop on 5G and Beyond Wireless Security (7th IEEE Wireless-Sec), 2022.
Z. El Jamous, K. Davaslioglu, and Y. E. Sagduyu, "Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems," IEEE Military Communications Conference (MILCOM), 2022.
Y. Shi and Y. E. Sagduyu, "Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing," IEEE Military Communications Conference (MILCOM) Workshops, 2022.
Y. E. Sagduyu, "Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning," IEEE Military Communications Conference (MILCOM) Workshops, 2022.
K. Davaslioglu, T. Erpek, and Y. E. Sagduyu, "Autoencoder Communications with Optimized Interference Suppression for NextG RAN," IEEE Future Networks World Forum (FNWF), 2022.
Y. Shi and Y. E. Sagduyu, T. Erpek, and M. C. Gursoy, "Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning," IEEE Future Networks World Forum (FNWF), 2022.
Y. E. Sagduyu, "Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks," IEEE Conference on Communications and Network Security (CNS): Cyber Resilience Workshop, 2022.
F. Wang, M. C. Gursoy, S. Velipasalar, and Y. E. Sagduyu, "Robust Deep Reinforcement Learning Based Network Slicing Under Adversarial Jamming Attacks," IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2022.
K. Davaslioglu, T. Erpek, Y. E. Sagduyu, N. Abuzainab, and D. Hartman, "Deep Learning with Interference Training for Adaptive Radar Beamforming," IEEE International Symposium on Phased Array Systems and Technology, 2022.
M. Hegarty, Y. E. Sagduyu, T. Erpek, and Y. Shi, "Deep Learning for Spectrum Awareness and Covert Communications via Unintended RF Emanations," ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) Workshop on Wireless Security and Machine Learning (WiseML), 2022.
T. Hou, T. Wang, Z. Lu, Y. Liu and Y. E. Sagduyu, "Undermining Deep Learning Based Channel Estimation via Adversarial Wireless Signal Fabrication," ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) Workshop on Wireless Security and Machine Learning (WiseML), 2022.
T. Hou, S. Bi, T. Wang, Z. Lu, Y. Liu, S. Misra, and Y. E. Sagduyu, "MUSTER: Subverting User Selection in MU-MIMO Networks," IEEE Conference on Computer Communications (INFOCOM), 2022.
B. Kim, T. Erpek, Y. E. Sagduyu, and S. Ulukus, "Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces," IEEE Wireless Communications and Networking Conference (WCNC), 2022.
Y. Shi, Y. E. Sagduyu, and T. Erpek, "Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks," SPIE Defense + Commercial Sensing (DCS) Conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 2022.
T. Erpek, Y. E. Sagduyu, A. Alkhateeb, and A. Yener, "Autoencoder-based Communications with Reconfigurable Intelligent Surfaces," IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2021.
T. Hou, T. Wang, Z. Lu, and Y. Liu, and Y. E. Sagduyu, "IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification," IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2021.
B. Kim, Y. Shi, Y. E. Sagduyu, T. Erpek, and S. Ulukus, "Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications," IEEE Global Communications Conference (GLOBECOM) Workshops, 2021.
X. Wang, M. C. Gursoy, T. Erpek, and Y. E. Sagduyu, "Collision-Aware UAV Trajectories for Data Collection via Reinforcement Learning," IEEE Global Communications Conference (GLOBECOM), 2021.
T. S. Cousik, V. K. Shah, J. H. Reed, T. Erpek, and Y. E. Sagduyu, "Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks," IEEE Military Communications Conference (MILCOM), 2021.
M. Costa, Y. E. Sagduyu, T. Erpek, and M. Médard, "Robust Improvement of the Age of Information by Adaptive Packet Coding," IEEE International Conference on Communications (ICC), 2021.
B. Kim, Y. E. Sagduyu, T. Erpek, K. Davaslioglu, and S. Ulukus, "Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers," IEEE International Conference on Communications (ICC), 2021.
N. Abuzainab, M. Alrabeiah, A. Alkhateeb, and Y. E. Sagduyu, "Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction," IEEE International Conference on Communications (ICC) Workshops, 2021.
X. Wang, M. C. Gursoy, T. Erpek, and Y. E. Sagduyu, "Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning," IEEE International Conference on Communications (ICC) Workshops, 2021.
Y. Shi and Y. E. Sagduyu, "Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing," IEEE International Conference on Communications (ICC) Workshops, 2021. Longer version is available at arXiv preprint arXiv:2101.08724.
Z. Luo, S. Zhao, R. Duan, Z. Lu, Y. E. Sagduyu, and J. Xu, "Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing," ACM Workshop on Wireless Security and Machine Learning (WiseML), 2021.
B. Kim, Y. E. Sagduyu, T. Erpek, and S. Ulukus, "Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond," IEEE Statistical Signal Processing Workshop, 2021.
B. Kim, Y. E. Sagduyu, T. Erpek, K. Davaslioglu, S. Ulukus, "Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers," IEEE GLOBECOM Open Workshop on Machine Learning in Communications, 2020.
B. Kim, Y. E. Sagduyu, K. Davaslioglu, T. Erpek, and S. Ulukus, "How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy," Asilomar Conference on Signals, Systems, and Computers, 2020.
Y. Shi, T. Erpek, and Y. E. Sagduyu, "Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing,” IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2020.
Y. Shi, K. Davaslioglu, and Y. E. Sagduyu, "Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers," ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) Workshop on Wireless Security and Machine Learning (WiseML), 2020.
Z. Luo, S. Zhao, Z. Lu, Y. E. Sagduyu, and J. Xu, "Adversarial Machine Learning Based Partial-model Attack in IoT," ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) Workshop on Wireless Security and Machine Learning (WiseML), 2020.
B. Kim, Y. E. Sagduyu, K. Davaslioglu, T. Erpek, and S. Ulukus, "Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels," Conference on Information Sciences and Systems (CISS), 2020.
K. Davaslioglu and Y. E. Sagduyu, "Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning," IEEE Workshop on Data-Driven Dynamic Spectrum Sharing of IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2019.
Y. Shi, K. Davaslioglu, Y. E. Sagduyu, W. C. Headley, M. Fowler, and G. Green, “Deep Learning for Signal Classification in Unknown and Dynamic Spectrum Environments,” IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2019.
N. Abu Zainab, T. Erpek, K. Davaslioglu, Y. E. Sagduyu, Y. Shi, S. Mackey, M. Patel, F. Panettieri, M. Qureshi, V. Isler, A. Yener, “QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning,” IEEE Military Communications Conference (MILCOM), 2019.
S. Soltani, Y. E. Sagduyu, R. Hasan, K. Davaslioglu, H. Deng, and T. Erpek, “Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification,” IEEE Military Communications Conference (MILCOM), 2019.
Y. Shi, K. Davaslioglu, and Y. E. Sagduyu, “Generative Adversarial Network for Wireless Signal Spoofing,” ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) Workshop on Wireless Security and Machine Learning (WiseML), 2019.
Y. E. Sagduyu, Y. Shi, and T. Erpek, "IoT Network Security from the Perspective of Adversarial Deep Learning," IEEE International Conference on Sensing, Communication and Networking (SECON) Workshop on Machine Learning for Communication and Networking in IoT, 2019.
T. Erpek, S. Ulukus, and Y. E Sagduyu, "Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA)," IEEE International Conference on Computing, Networking and Communications (ICNC), 2019.
K. Davaslioglu, B. Pokorny, Y. E. Sagduyu, H. Molintas, S. Soltani, R. Grossman, and C. Bowers, “Measuring the Collective Allostatic Load,” IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 2019.
Y. Shi, Y. E. Sagduyu, K. Davaslioglu, and J. Li, “Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls,” IEEE Symposium on Technologies for Homeland Security, 2018 (BEST PAPER AWARD).
Y. Shi, Y. E. Sagduyu, K. Davaslioglu, and J. Li, “Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data,” IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018.
Y. Shi, T. Erpek, Y. E Sagduyu, and J. Li, "Spectrum Data Poisoning with Adversarial Deep Learning," IEEE Military Communications Conference (MILCOM), 2018.
T. Erpek, Y. E Sagduyu, Y Shi, and S. Ponnaluri, "Rate Optimization with Distributed Network Coordination of Multiuser MIMO Communications," IEEE Vehicular Technology Conference (VTC), 2018.
Y. Shi, S. Ponnaluri, Y. E. Sagduyu, and E. van Doorn, "Distributed Coherent Communications," IEEE Military Communications Conference (MILCOM), 2018.
T. Erpek, Y. E. Sagduyu, Y. Shi, M. Costa, K. Davaslioglu, H. Han, D. Fayette, E. Bentley, and C. Banner, "Routing, Network Coding, and TCP Support for Wideband HF communications," IEEE Military Communications Conference (MILCOM), 2018.
Y. Shi, Y. E Sagduyu, T. Erpek, K. Davaslioglu, Z. Lu, and J. Li, “Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies,” IEEE ICC 2018 Workshop - Promises and Challenges of Machine Learning in Communication Networks.
K. Davaslioglu and Y. E. Sagduyu, "Generative Adversarial Learning for Spectrum Sensing," IEEE International Conference on Communications (ICC), 2018.
Y. Shi and Y. E Sagduyu, "Evasion and Causative Attacks with Adversarial Deep Learning," IEEE Military Communications Conference (MILCOM), 2017.
Y. E. Sagduyu, Y. Shi, T. Erpek, S.Soltani, S. J. Mackey, D.H. Cansever, Mitesh P. Patel, B. F. Panettieri, B. K. Szymanski, and G. Cao, "Multilayer MANET Routing with Social-Cognitive Learning," IEEE Military Communications Conference (MILCOM), 2017.
S. Soltani, Y. E. Sagduyu, S. Scanlon, Y. Shi, J. Li, J. Feldman, and J. D. Matyjas, "Joint Network Coding and Backpressure Algorithm for Cognitive Radio Networks," IEEE Military Communications Conference (MILCOM), 2017.
Y. E. Sagduyu, T. Erpek, S. Soltani, Y. Shi, S. Ponnaluri, J. Li, R. Riley, and C. Banner, "Mission Planning Radio Testbed for Airborne Relay Communications," IEEE Military Communications Conference (MILCOM), 2017 (restricted session).
Y. Shi, Y. E. Sagduyu, and A. Grushin, "How to Steal a Machine Learning Classifier with Deep Learning," IEEE Symposium on Technologies for Homeland Security (HST’17), 2017.
S. Ponnaluri, B. Azimi-Sadjadi, Y. E. Sagduyu, and W. Phoel, "Distributed Interference Cancellation," IEEE Wireless Communications and Networking Conference (WCNC), 2017.
L. Pi, Z. Lu, Y. E. Sagduyu, and S. Chen, "Defending Active Learning against Adversarial Inputs in Automated Document Classification," IEEE GlobalSIP Symposium on Compressed Sensing, Deep Learning, 2016.
Y. E. Sagduyu, Y. Shi, S. Ponnaluri, S. Soltani, J. Li, R. Riley, C. Banner, and G. Heinen, “Optimal Orbit Selection and Design for Airborne Relay Communications,” IEEE Military Communications (MILCOM), 2016.
Y. E. Sagduyu, Y. Shi, S. J. Mackey, D. H. Cansever, M. P. Patel, and B. F. Panettieri, "Analytical Framework for MANET Learning and Routing," IEEE Military Communications (MILCOM), 2016.
Z. Lu and Y. E. Sagduyu, "Risk Assessment Based Access Control with Text and Behavior Analysis for Document Management," IEEE Military Communications (MILCOM), 2016.
Y. Shi and Y. E. Sagduyu, "Spectrum Learning and Access for Cognitive Satellite Communications under Jamming," IEEE CRESS workshop at IEEE CNS, 2016.
Z. Lu, Y. E. Sagduyu, and Y. Shi, "Friendships in the Air: Integrating Social Links into Wireless Network Modeling, Routing, and Analysis,"The Eighth IEEE International Workshop on Network Science for Communication Networks (NetSciCom 2016) held with IEEE INFOCOM, 2016.
Z. El Jamous, S. Soltani, Y. E Sagduyu, and J. H. Li, "RADAR: An Automated System for Near Real-Time Detection and Diversion of Malicious Network Traffic," IEEE Symposium on Technologies for Homeland Security (HST’16), 2016.
Y. E. Sagduyu, Y. Shi, A. B. Mackenzie, and T. Hou, "Regret Minimization-based Robust Game Theoretic Solution for Dynamic Spectrum Access," IEEE Consumer Communications and Networking Conference (CCNC), 2016.
Y. E. Sagduyu, Y. Shi, S. Ponnaluri, S. Soltani, J. Li, and R. Riley, “Optimal Transmission Decisions for Airborne Relay Communications," IEEE Military Communications (MILCOM), 2015.
S. Soltani, Y. E. Sagduyu, Y. Shi, J. Li, J. Feldman, and J. Matyjas, “Distributed Cognitive Radio Network Architecture, SDR Implementation and Emulation Testbed,” IEEE Military Communications (MILCOM), 2015.
S. Ponnaluri, S. Soltani, Y. Shi, and Y. E. Sagduyu, “Spectrum Efficient Communications with Multiuser MIMO, Multiuser Detection and Interference Alignment,” IEEE Military Communications (MILCOM), 2015.
Z. Lu, Y. E. Sagduyu, and J. Li, "Queuing the Trust: Secure Backpressure Algorithm against Insider Threats in Wireless Networks", IEEE Conference on Computer Communications (INFOCOM) 2015.
Y. E. Sagduyu, "Securing Cognitive Radio Networks with Dynamic Trust against Spectrum Sensing Data Falsification," IEEE Military Communications Conference (MILCOM) 2014.
Y. Shi, Y. E. Sagduyu, J. Zhang, and J. H. Li, "System Design and Testbed Implementation of Source-based Network Coding in Lossy Networks," IEEE Military Communications Conference (MILCOM) 2014.
Z. Lu, Y. E. Sagduyu, and Y. Shi, "Socio-Technological Communication Testbed for Mobile Social Networks," IEEE Military Communications Conference (MILCOM) 2014.
Y. E. Sagduyu, Y. Shi, A. Fanous, and J. H. Li, "An Analytical Framework and Implementation of Wireless Network Inference and Optimization," IEEE Global Communications Conference (GLOBECOM), 2013.
K. Neema, Y. E. Sagduyu, and Y. Shi, “Search Delay and Success in Combined Social and Communication Networks,” IEEE Global Communications Conference (GLOBECOM), 2013.
L. Ding, Y. E. Sagduyu, T. Melodia, J. H. Li, J. Feldman and J. Matyjas, "CREATE-NEST: A Distributed Cognitive Radio Network Platform with Physical Channel Awareness," IEEE Military Communications Conference (MILCOM), 2013.
A. Fanous, Y. E. Sagduyu, and A. Ephremides, "Opportunistic Spectrum Access in Wireless Communications with Network Coding," IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WIOPT), 2013.
O. Savas, Y. E. Sagduyu, H. Deng, and J. Li, "Tactical Big Data Analytics: Challenges, Use Cases, and Solutions," Big Data Analytics workshop at SIGMETRICS, 2013.
Y. Shi, Y. E. Sagduyu, and J. H. Li, "Low Complexity Multi-layer Optimization for Multi-hop Wireless Networks," IEEE Military Communications Conference (MILCOM) 2012.
L. Yang, Y. E. Sagduyu, and J. H. Li, "Adaptive Network Coding for Scheduling Real-time Traffic with Hard Deadlines,"ACM MobiHoc 2012.
K. J. Kwak, Y. E. Sagduyu, J. Deng, J. Yackoski, and J. H. Li, "Airborne Network Evaluation: Challenges and High Fidelity Emulation Solution," ACM MobiHoc Workshop on Airborne Networks and Communications, 2012.
L. Ding, Y. E. Sagduyu, J. Yackoski, B. Azimi-Sadjadi, J. Li, R. Levy, and T. Melodia, "High Fidelity Wireless Network Evaluation for Heterogeneous Cognitive Radio Networks," in Proc. SPIE Defense, Security and Sensing Conference, 2012.
Y. Cheng, Y. E. Sagduyu, J. Deng, J. Li, and P. Liu, "Integrated Situational Awareness for Cyber-attack Detection, Analysis, and Mitigation," SPIE Defense, Security and Sensing Conference, 2012.
S. Wang, Y. E. Sagduyu, J. Zhang, and J. H. Li, "Traffic Shaping Impact of Network Coding on Spectrum Predictability and Jamming Attacks," . IEEE Military Communications Conference (MILCOM), 2011.
J. Yackoski, B. Azimi-Sadjadi, A. Namazi, J. H. Li, Y. E. Sagduyu, and R. Levy, "RF-NEST: Radio Frequency Network Emulator Simulator Tool," IEEE Military Communications Conference (MILCOM), 2011.
Y. E. Sagduyu and J. H. Li, "Information-Geometric Wireless Network Inference," IEEE Global Communications Conference (GLOBECOM), 2011.
L. Yang, Y. E. Sagduyu, J. Zhang, and J. H. Li, "Distributed Power Control for Ad-hoc Communications via Stochastic Nonconvex Utility Optimization", IEEE International Conference on Communications (ICC), 2011.
S. Wang, Y. E. Sagduyu, J. Zhang, and J. H. Li, "Spectrum Shaping via Network coding in Cognitive Radio Networks", IEEE INFOCOM, 2011.
Y. E. Sagduyu, S. Luo, and J. H. Li, “On the Overhead and Throughput Performance of Scent-Based MANET Routing,” IEEE Military Communications Conference (MILCOM), 2010.
Z. Wang, Y. E. Sagduyu, J. H. Li, and J. Zhang, “Capacity and Delay Scaling Laws for Cognitive Radio Networks with Routing and Network Coding,” IEEE Military Communications Conference (MILCOM), 2010.
Y. E. Sagduyu, R. Berry and A. Ephremides, “Jamming Games for Power Controlled Medium Access with Dynamic Traffic,” IEEE International Symposium on Information Theory (ISIT), Austin, TX, June 2010.
Y. E. Sagduyu, R. Berry and A. Ephremides, “Wireless Jamming Attacks under Dynamic Traffic Uncertainty,” IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WIOPT), Avignon, France, May 2010.
K. H. Hui, Y. E. Sagduyu, D. Guo, and R. Berry, "The Maximum Stable Broadcast Throughput for Wireless Line Networks with Network Coding and Topology Control," Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, Mar. 2010.
E. N. Ciftcioglu, Y. E. Sagduyu, R. Berry, and A. Yener, "Queue Based Compression in a Two-Way Relay Networks," Conference on Information Sciences and Systems (CISS), Princeton, NJ, Mar. 2010.
E. N. Ciftcioglu, Y. E. Sagduyu, R. Berry, and A. Yener, "Cost Sharing with Network Coding in Two-Way Relay Networks," Allerton Conference on Communication, Control, and Computing, Monticello, IL, Sep. 2009.
M. Riemensberger, Y. E. Sagduyu, M. L. Honig, and W. Utschick, "Comparison of Analog and Digital Relay Methods with Network Coding for Wireless Multicast," in Proc. IEEE ICC, Dresden, Germany, June 2009.
Y. E. Sagduyu, R. Berry, and A. Ephremides, "MAC Games for Distributed Wireless Network Security with Incomplete Information of Selfish and Malicious User Types," in Proc. IEEE International Conference on Game Theory for Networks (GameNets), May 2009.
Y. E. Sagduyu, D. Guo, and R. Berry, "Throughput and Stability of Digital and Analog Network Coding for Wireless Relay Networks with Single and Multiple Relays," in Proc. The Fourth International Wireless Internet Conference (WICON), Maui, HI, Nov. 2008.
M. Riemensberger, Y. E. Sagduyu, M. L. Honig, and W. Utschick, "Training Overhead for Decoding Random Linear Network Codes," IEEE Military Communications Conference (MILCOM), 2008.
Y. E. Sagduyu, D. Guo, and R. Berry, "Throughput Optimal Control for Relay-Assisted Wireless Broadcast with Network Coding," IEEE International Workshop on Wireless Network Coding (WiNC 2008) San Francisco, CA, June, 2008.
Y. E. Sagduyu, D. Guo, and R. Berry, "On the Delay and Throughput of Digital and Analog Network Coding for Wireless Broadcast," Conference on Information Sciences and Systems, CISS 2008.
Y. E. Sagduyu and A. Ephremides, "On Network Coding for Stable Multicast Communication," IEEE Military Communications Conference (MILCOM), 2007.
Y. E. Sagduyu and A. Ephremides, "A Game-Theoretic Analysis of Denial of Service Attacks in Wireless Random Access," WiOpt'07 (Optimization and Modeling in Mobile, Ad-Hoc and Wireless Networks), Apr. 2007.
Y. E. Sagduyu and A. Ephremides, "SINR-Based MAC Games for Selfish and Malicious Users," Information Theory and Applications Workshop 2007, San Diego, CA, Jan. 2007.
Y. E. Sagduyu and A. Ephremides, "On Broadcast Stability Region in Random Access through Network Coding," Allerton Conference on Communication, Control, and Computing, Monticello, IL, Sep. 2006.
Y. E. Sagduyu, A. Ephremides, "A Game-Theoretic Look at Throughput and Stability in Random Access," IEEE Military Communications Conference (MILCOM), Washington DC, Oct. 2006.
Y. E. Sagduyu and A. Ephremides, "Network Coding in Wireless Queueing Networks: Tandem Network Case," IEEE International Symposium on Information Theory, Seattle, WA, July 2006.
Y. E. Sagduyu and A. Ephremides, "Joint Optimization of MAC and Network Coding for Cooperative and Competitive Wireless Multicasting," Workshop on Modelling and Design of Multi-hop Wireless Networks, Minneapolis, MN, July 2006.
Y. E. Sagduyu and A. Ephremides, "Some Optimization Trade-offs in Wireless Network Coding," Conference on Information Sciences and Systems, Princeton, NJ, Mar. 2006.
Y. E. Sagduyu and A. Ephremides, "Crosslayer Design for Distributed MAC and Network Coding in Wireless Ad Hoc Networks," IEEE International Symposium on Information Theory, Adelaide, Australia, Sep. 2005.
Y. E. Sagduyu and A. Ephremides, "Joint Scheduling and Wireless Network Coding," First Workshop on Network Coding, Theory, and Applications April 7, 2005, Riva del Garda, Italy (in conjunction with WiOpt 2005).
Y. E. Sagduyu and A. Ephremides, "Energy and Throughput Efficiency in Wireless Ad Hoc Networks through Group TDMA," 43rd IEEE Conference on Decision and Control, Bahamas, Dec. 2004.
Y. E. Sagduyu and A. Ephremides, "Multiple Access and Time Division: A New Look," IEEE International Symposium on Information Theory, Chicago, June 2004.
Y. E. Sagduyu and A. Ephremides, "On the Capacity Bounds of Wireless Networks with Directional Antennas," Conference on Information Sciences and Systems CISS 2004, Princeton, NJ, Mar. 2004.
Y. E. Sagduyu and A. Ephremides, "A Game-Theoretic Look at Simple Relay Channel," WiOpt'04 (Optimization and Modeling in Mobile, Ad-Hoc and Wireless Networks), Cambridge,UK, Mar. 2004.
Y. E. Sagduyu and A. Ephremides, "Power Control and Rate Adaptation as Stochastic Games for Random Access,"42nd IEEE Conference on Decision and Control, Hawaii, Dec. 2003.
Y. E. Sagduyu and A. Ephremides, "Energy Saving Medium Access Control for Wireless Ad-Hoc Networks," Collaborative Technology Alliances (CTA) and Communications Networks (C&N) Alliance 2003 Annual Symposium, University of Maryland Conference Center, May 2003.
Y. E. Sagduyu and A. Ephremides, "Energy-Efficient Collision Resolution in Wireless Ad-Hoc Networks," IEEE INFOCOM 2003, San Francisco, Apr. 2003.
Preprints
Y. E. Sagduyu, T. Erpek, A. Yener, and S. Ulukus, "Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing," arXiv preprint 2401.01531.
Y. E. Sagduyu, T. Erpek, A. Yener, and S. Ulukus, "Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access," arXiv preprint 2312.13931.
Y. E. Sagduyu, T. Erpek, A. Yener, and S. Ulukus, "Joint Sensing and Semantic Communications with Multi-Task Deep Learning," arXiv preprint arXiv:2311.05017.
Y. Shi and Y. E. Sagduyu, "Jamming Attacks on Federated Learning in Wireless Networks," arXiv preprint arXiv:2201.05172.
Y. E. Sagduyu, "NextG Communications Security through the Lens of Adversarial Machine Learning," IEEE Technical Committee on Cognitive Networks (TCCN), Dec. 2022.
K. Davaslioglu, T. Erpek, and Y. E. Sagduyu, "End-to-End Autoencoder Communications with Optimized Interference Suppression," arXiv preprint arXiv:2201.01388.
S. Soltani, Y. E. Sagduyu, S. Scanlon, Y. Shi, J. H. Li, J. Feldman, and J. D. Matyjas, "Cross-layer Design and SDR Implementation of DSA, Backpressure Routing and Network Coding," arXiv preprint arXiv:1912.05658.
Y. E. Sagduyu, Y. Shi, T. Erpek, W. Headley, B. Flowers, G. Stantchev, and Z. Lu, "When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions", arXiv preprint arXiv:2001.08883.
Demo Papers
S. Soltani, Y. E. Sagduyu, R. Hasan, K. Davaslioglu, H. Deng, and T. Erpek, “Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA,” IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2019.
S. Soltani, Y. E. Sagduyu, J. H. Li, J. Feldman, and J. Matyjas, "Demonstration of Plug-and-Play Cognitive Radio Network Emulation Testbed," IEEE DySPAN 2014.
J. Yackoski, B. Azimi-Sadjadi, A. Namazi, A. Bogaevskiy, J. H. Li, Y. E. Sagduyu, and R. Levy, "Mobile Network Performance Evaluation Using The Radio Frequency Network Channel Emulation Simulation Tool (RFnest)," ACM Mobicom 2013.
L. Ding, Y. E. Sagduyu, T. Melodia, and J. H. Li, "CR-NEST: A Cognitive Radio Network Emulator and Simulator Testbed," ACM Mobicom 2011.
Patents
U.S. Patent US011856524, "Systems and methods for deep reinforcement learning for optimal power control in wireless networks", 2023.
U.S. Patent US011705943, "Distributed network control and link activation for multi-user MIMO communication," 2023.
U.S. Patent US011005843, "System and means for detecting automated programs used to generate social media input", 2021.
U.S. Patent US010719779, "System and means for generating synthetic social media data", 2020.