Tugba Erpek

Orcid: 0000-0003-0168-2587

According to our database1, Tugba Erpek authored at least 63 papers between 2011 and 2024.

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Bibliography

2024
Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing.
CoRR, 2024

2023
Is Semantic Communication Secure? A Tale of Multi-Domain Adversarial Attacks.
IEEE Commun. Mag., November, 2023

Deep Reinforcement Learning for NextG Radio Access Network Slicing With Spectrum Coexistence.
IEEE Netw. Lett., September, 2023

Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access.
CoRR, 2023

Joint Sensing and Semantic Communications with Multi-Task Deep Learning.
CoRR, 2023

Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning.
CoRR, 2023

Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution.
Proceedings of the IEEE Military Communications Conference, 2023

Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning.
Proceedings of the IEEE Military Communications Conference, 2023

Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks.
Proceedings of the IEEE INFOCOM 2023, 2023

Multi-Hop User Equipment (UE) to UE Relays for MANET/Mesh Leveraging 5G NR Sidelink.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers.
IEEE Trans. Wirel. Commun., 2022

Learning-Based UAV Path Planning for Data Collection With Integrated Collision Avoidance.
IEEE Internet Things J., 2022

Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas.
Entropy, 2022

Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks.
CoRR, 2022

Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks.
CoRR, 2022

End-to-End Autoencoder Communications with Optimized Interference Suppression.
CoRR, 2022

Deep Learning for Spectrum Awareness and Covert Communications via Unintended RF Emanations.
Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022

Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Autoencoder Communications with Optimized Interference Suppression for NextG RAN.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks.
IEEE Trans. Mob. Comput., 2021

DeepWiFi: Cognitive WiFi with Deep Learning.
IEEE Trans. Mob. Comput., 2021

How to Attack and Defend 5G Radio Access Network Slicing with Reinforcement Learning.
CoRR, 2021

Adversarial Machine Learning for 5G Communications Security.
CoRR, 2021

Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks.
CoRR, 2021

Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G And Beyond.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers.
Proceedings of the ICC 2021, 2021

Robust Improvement of the Age of Information by Adaptive Packet Coding.
Proceedings of the ICC 2021, 2021

Collision-Aware UAV Trajectories for Data Collection via Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2021

Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Autoencoder-based Communications with Reconfigurable Intelligent Surfaces.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

2020
Deep Learning for Wireless Communications.
Proceedings of the Development and Analysis of Deep Learning Architectures, 2020

Deep Learning for Wireless Communications.
CoRR, 2020

When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions.
CoRR, 2020

Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers.
Proceedings of the IEEE Globecom Workshops, 2020

Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing.
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020

How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Deep Learning for Launching and Mitigating Wireless Jamming Attacks.
IEEE Trans. Cogn. Commun. Netw., 2019

Network control and rate optimization for multiuser MIMO communications.
Ad Hoc Networks, 2019

IoT Network Security from the Perspective of Adversarial Deep Learning.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA).
Proceedings of the International Conference on Computing, Networking and Communications, 2019

Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA.
Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

2018
Rate Optimization with Distributed Network Coordination of Multiuser MIMO Communications.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Routing, Network Coding and TCP Support for Wideband HF Communications.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

Spectrum Data Poisoning with Adversarial Deep Learning.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

Learning a Physical Layer Scheme for the MIMO Interference Channel.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

2017
Deep Learning Based MIMO Communications.
CoRR, 2017

A Unified Solution to Cognitive Radio Programming, Test and Evaluation for Tactical Communications.
IEEE Commun. Mag., 2017

Multilayer MANET routing with social-cognitive learning.
Proceedings of the 2017 IEEE Military Communications Conference, 2017

Spectral detection and localization of radio events with learned convolutional neural features.
Proceedings of the 25th European Signal Processing Conference, 2017

Physical layer deep learning of encodings for the MIMO fading channel.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Application-aware resource block and power allocation for LTE.
Proceedings of the Annual IEEE Systems Conference, 2016

A practical wireless reciprocity-aware key establishment protocol.
Proceedings of the 2016 IEEE Military Communications Conference, 2016

2015
An optimal application-aware resource block scheduling in LTE.
Proceedings of the International Conference on Computing, Networking and Communications, 2015

2012
LTE signal classification and center frequency detection without Priori information.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2012

2011
Dynamic spectrum access operational parameters with wireless microphones.
IEEE Commun. Mag., 2011


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