Y. Sagduyu

发表

Cross-Layer Optimization of MAC and Network Coding in Wireless Queueing Tandem Networks

Anthony Ephremides, Yalin Evren Sagduyu, A. Ephremides, 2008, IEEE Transactions on Information Theory.

A game-theoretic analysis of denial of service attacks in wireless random access

Anthony Ephremides, Yalin Evren Sagduyu, A. Ephremides, 2007, 2007 5th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks and Workshops.

Collective allostatic load measures for teams

S. Soltani, Y. Sagduyu, R. Grossman, 2019, Structural Health Monitoring.

Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers pdf

Sennur Ulukus, Kemal Davaslioglu, Yalin E. Sagduyu, 2020, IEEE Transactions on Wireless Communications.

Deep Learning for Spectrum Awareness and Covert Communications via Unintended RF Emanations

Y. Sagduyu, Yi Shi, T. Erpek, 2022, WiseML@WiSec.

Design Considerations for Medium Access Control in Wireless Sensor Networks

A. Ephremides, Y. Sagduyu, 2004 .

Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning

M. C. Ertem, S. Boztaş, E. Ayanoglu, 2022, 2207.03046.

Jamming Attacks on Federated Learning in Wireless Networks

Yalin E. Sagduyu, Yi Shi, Y. Sagduyu, 2022, 2201.05172.

How to Attack and Defend 5G Radio Access Network Slicing with Reinforcement Learning

Y. Sagduyu, M. C. Gursoy, Yi Shi, 2021, ArXiv.

Autoencoder-based Communications with Reconfigurable Intelligent Surfaces

Aylin Yener, Ahmed Alkhateeb, Yalin E. Sagduyu, 2021, 2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing

Yalin E. Sagduyu, Shangqing Zhao, Zhengping Luo, 2021, WiseML@WiSec.

Chapter 22 / Case Study: Robot Control: Swinging Like a Pendulum

Yalin E. Sagduyu, Y. Sagduyu, 2009 .

Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G And Beyond

Sennur Ulukus, Yalin E. Sagduyu, Tugba Erpek, 2021, 2021 IEEE Statistical Signal Processing Workshop (SSP).

Undermining Deep Learning Based Channel Estimation via Adversarial Wireless Signal Fabrication

Y. Sagduyu, Zhuo Lu, Yao-Hong Liu, 2022, WiseML@WiSec.

Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications

Sennur Ulukus, Yalin E. Sagduyu, Tugba Erpek, 2021, 2021 IEEE Globecom Workshops (GC Wkshps).

Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas

S. Ulukus, Y. Sagduyu, Kemal Davaslioglu, 2022, Entropy.

Membership Inference Attack and Defense for Wireless Signal Classifiers With Deep Learning pdf

Yalin E. Sagduyu, Yi Shi, Y. Sagduyu, 2021, IEEE Transactions on Mobile Computing.

Adversarial Machine Learning for 5G Communications Security pdf

Yalin E. Sagduyu, Tugba Erpek, Yi Shi, 2021, Game Theory and Machine Learning for Cyber Security.

Learning-Based UAV Path Planning for Data Collection With Integrated Collision Avoidance

Y. Sagduyu, Xueyuan Wang, M. C. Gursoy, 2022, IEEE Internet of Things Journal.

Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks

A. Yener, S. Ulukus, Y. Sagduyu, 2022, 2023 57th Annual Conference on Information Sciences and Systems (CISS).

How to Launch Jamming Attacks on Federated Learning in NextG Wireless Networks

Y. Sagduyu, Yi Shi, 2022, 2022 IEEE Globecom Workshops (GC Wkshps).

Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks

Y. Sagduyu, 2022, 2022 IEEE Conference on Communications and Network Security (CNS).

Vulnerability Detection and Analysis in Adversarial Deep Learning

Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, 2018, Guide to Vulnerability Analysis for Computer Networks and Systems.

Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments

Kemal Davaslioglu, Yalin E. Sagduyu, William C. Headley, 2019, 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

Distributed stochastic power control in ad hoc networks: a nonconvex optimization case

Jason H. Li, Junshan Zhang, Y. Sagduyu, 2011, EURASIP J. Wirel. Commun. Netw..

Search in Combined Social and Wireless Communication Networks: Delay and Success Analysis

Yi Shi, Yalin Evren Sagduyu, Kartavya Neema, 2015, IEEE Transactions on Wireless Communications.

Search delay and success in combined social and communication networks

Yi Shi, Yalin Evren Sagduyu, Kartavya Neema, 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning

Y. Sagduyu, Xueyuan Wang, M. C. Gursoy, 2021, 2021 IEEE International Conference on Communications Workshops (ICC Workshops).

Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks pdf

Jeffrey H. Reed, Yalin E. Sagduyu, Tarun S. Cousik, 2021, IEEE Transactions on Network Science and Engineering.

Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks

Yalin E. Sagduyu, Yi Shi, Tugba Erpek, 2019, IEEE Transactions on Mobile Computing.

Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning

Kemal Davaslioglu, Yalin E. Sagduyu, Y. Sagduyu, 2019, 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

Spectrum Data Poisoning with Adversarial Deep Learning

Yalin E. Sagduyu, Yi Shi, Tugba Erpek, 2018, MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM).

IoT Network Security from the Perspective of Adversarial Deep Learning

Yi Shi, Yalin E. Sagduyu, Tugba Erpek, 2019, 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing pdf

Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, 2020, IEEE Transactions on Cognitive Communications and Networking.

When Attackers Meet AI: Learning-Empowered Attacks in Cooperative Spectrum Sensing

Y. Sagduyu, Zhuo Lu, Zhengping Luo, 2019, IEEE Transactions on Mobile Computing.

Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers pdf

Sennur Ulukus, Kemal Davaslioglu, Yalin E. Sagduyu, 2020, 2020 IEEE Globecom Workshops (GC Wkshps.

Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels

Sennur Ulukus, Kemal Davaslioglu, Yalin E. Sagduyu, 2020, 2020 54th Annual Conference on Information Sciences and Systems (CISS).

When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions pdf

Yi Shi, George Stantchev, Zhuo Lu, 2020, ArXiv.

Deep Learning for Launching and Mitigating Wireless Jamming Attacks

Yalin E. Sagduyu, Yi Shi, Tugba Erpek, 2018, IEEE Transactions on Cognitive Communications and Networking.

Classified information: the data clustering problem

Dianne P. O'Leary, Yalin Evren Sagduyu, Nargess Memarsadeghi, 2003, Comput. Sci. Eng..

Integrating Social Links into Wireless Networks: Modeling, Routing, Analysis, and Evaluation

Yalin E. Sagduyu, Yi Shi, Zhuo Lu, 2019, IEEE Transactions on Mobile Computing.

Adversarial Machine Learning in Wireless Communications Using RF Data: A Review

Y. Sagduyu, D. Adesina, Lijun Qian, 2020, IEEE Communications Surveys & Tutorials.

Evasion and causative attacks with adversarial deep learning

Yalin E. Sagduyu, Yi Shi, Y. Sagduyu, 2017, MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM).

Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies

Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

Integrating deep learning-based data driven and model-based approaches for inverse synthetic aperture radar target recognition

Bir Bhanu, Yi Shi, Kemal Davaslioglu, 2020 .

Jamming games in wireless networks with incomplete information

Anthony Ephremides, Randall Berry, Yalin Evren Sagduyu, 2011, IEEE Communications Magazine.

Age of Information in Deep Learning-Driven Task-Oriented Communications

A. Yener, S. Ulukus, Y. Sagduyu, 2023, IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks

A. Yener, S. Ulukus, Y. Sagduyu, 2022, ArXiv.

Task-Oriented Communications for NextG: End-to-end Deep Learning and AI Security Aspects

A. Yener, S. Ulukus, Y. Sagduyu, 2022, IEEE Wireless Communications.

Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing

Yi Shi, Yalin E. Sagduyu, Tugba Erpek, 2020, 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

MAC games for distributed wireless network security with incomplete information of selfish and malicious user types

Anthony Ephremides, Randall Berry, Yalin Evren Sagduyu, 2009, 2009 International Conference on Game Theory for Networks.

Adversarial machine learning based partial-model attack in IoT

Zhuo Lu, Yalin E. Sagduyu, Shangqing Zhao, 2020, WiseML@WiSec.

Generative Adversarial Learning for Spectrum Sensing

Kemal Davaslioglu, Yalin E. Sagduyu, Y. Sagduyu, 2018, 2018 IEEE International Conference on Communications (ICC).

Deep Learning for Wireless Communications

Yi Shi, Timothy J. O'Shea, T. Charles Clancy, 2019, Development and Analysis of Deep Learning Architectures.

Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data

Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, 2018, 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

Measuring the Collective Allostatic Load

Yalin E. Sagduyu, Sohraab Soltani, Clint Bowers, 2019, 2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA).

A game-theoretic look at simple relay channel

Anthony Ephremides, Yalin Evren Sagduyu, A. Ephremides, 2006, Wirel. Networks.

Power control and rate adaptation as stochastic games for random access

Anthony Ephremides, Yalin E. Sagduyu, A. Ephremides, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Over-the-air membership inference attacks as privacy threats for deep learning-based wireless signal classifiers

Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, 2020, WiseML@WiSec.

Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA)

Sennur Ulukus, Yalin E. Sagduyu, Tugba Erpek, 2019, 2019 International Conference on Computing, Networking and Communications (ICNC).

DeepWiFi: Cognitive WiFi with Deep Learning

Kemal Davaslioglu, Yalin E. Sagduyu, Tugba Erpek, 2019, IEEE Transactions on Mobile Computing.

Generative Adversarial Network for Wireless Signal Spoofing

Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, 2019, WiseML@WiSec.

Intelligent Terahertz Medium Access Control (MAC) for Highly Dynamic Airborne Networks

Fei Hu, Sunil Kumar, Y. Sagduyu, 2023, IEEE Transactions on Aerospace and Electronic Systems.

Federated learning for distributed spectrum sensing in NextG communication networks

Y. Sagduyu, Yi Shi, T. Erpek, 2022, Defense + Commercial Sensing.

MUSTER: Subverting User Selection in MU-MIMO Networks

S. Misra, Y. Sagduyu, Zhuo Lu, 2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.

RFnest™: Radio frequency network emulator simulator tool

Justin Yackoski, Yalin E. Sagduyu, Jason H. Li, 2011, 2011 - MILCOM 2011 Military Communications Conference.

Distributed cognitive radio network architecture, SDR implementation and emulation testbed

Yi Shi, Jason H. Li, Yalin Evren Sagduyu, 2015, MILCOM 2015 - 2015 IEEE Military Communications Conference.

Robust Deep Reinforcement Learning Based Network Slicing under Adversarial Jamming Attacks

Y. Sagduyu, M. C. Gursoy, Senem Velipasalar, 2022, 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

Defending active learning against adversarial inputs in automated document classification

Yalin E. Sagduyu, Zhuo Lu, Su Chen, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction

Ahmed Alkhateeb, Yalin E. Sagduyu, Muhammad Alrabeiah, 2021, 2021 IEEE International Conference on Communications Workshops (ICC Workshops).

Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing

Y. Sagduyu, Zhuo Lu, Zhengping Luo, 2021, WiseML@WiSec.

Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces pdf

Sennur Ulukus, Yalin E. Sagduyu, Tugba Erpek, 2021, 2022 IEEE Wireless Communications and Networking Conference (WCNC).

Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification

Hongmei Deng, Kemal Davaslioglu, Yalin E. Sagduyu, 2019, MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM).

Wireless jamming attacks under dynamic traffic uncertainty

Anthony Ephremides, Randall Berry, Yalin Evren Sagduyu, 2010, 8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.

How to steal a machine learning classifier with deep learning

Yi Shi, Yalin Sagduyu, Alexander Grushin, 2017, 2017 IEEE International Symposium on Technologies for Homeland Security (HST).

Distributed Stochastic Power Control in Ad-hoc Networks: A Nonconvex Case pdf

Lei Yang, Junshan Zhang, Jason H. Li, 2011, ArXiv.

Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks pdf

Jeffrey H. Reed, Yalin E. Sagduyu, Tarun S. Cousik, 2020, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM).

Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning

A. Yener, S. Ulukus, Y. Sagduyu, 2023, ArXiv.

On the delay and throughput of digital and analog network coding for wireless broadcast

Dongning Guo, Randall Berry, Yalin Evren Sagduyu, 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

On Joint MAC and Network Coding in Wireless Ad Hoc Networks

Anthony Ephremides, Yalin Evren Sagduyu, A. Ephremides, 2007, IEEE Transactions on Information Theory.

Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing

Y. Sagduyu, Yi Shi, 2022, MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM).

Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learning

M. C. Ertem, S. Boztaş, E. Ayanoglu, 2022, IEEE Wireless Communications Letters.

System Design and Testbed Implementation of Adaptive Coding Optimization in Lossy Networks

Junshan Zhang, Yalin E. Sagduyu, Yi Shi, 2014, 2014 IEEE Military Communications Conference.

Deep Reinforcement Learning for NextG Radio Access Network Slicing With Spectrum Coexistence

Y. Sagduyu, Yi Shi, T. Erpek, 2023, IEEE Networking Letters.

Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems

Y. Sagduyu, Kemal Davaslioglu, Ziad El Jamous, 2022, MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM).

Capacity and Stable Throughput Regions for the Broadcast Erasure Channel With Feedback: An Unusual Union

Leandros Tassiulas, Anthony Ephremides, Leonidas Georgiadis, 2013, IEEE Transactions on Information Theory.

Friendships in the air: Integrating social links into wireless network modeling, routing, and analysis

Yi Shi, Zhuo Lu, Yalin Evren Sagduyu, 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Navigating a mobile social network

Yi Shi, Yalin Evren Sagduyu, Yi Shi, 2015, IEEE Wireless Communications.

Machine Learning in NextG Networks via Generative Adversarial Networks

E. Ayanoglu, Y. Sagduyu, Kemal Davaslioglu, 2022, IEEE Transactions on Cognitive Communications and Networking.

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

S. Ulukus, Y. Sagduyu, T. Erpek, 2024, ArXiv.

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

S. Ulukus, Y. Sagduyu, T. Erpek, 2023, ArXiv.

Joint Sensing and Semantic Communications with Multi-Task Deep Learning

S. Ulukus, Y. Sagduyu, T. Erpek, 2023, ArXiv.

Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls

Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, 2018, 2018 IEEE International Symposium on Technologies for Homeland Security (HST).

Queuing the trust: Secure backpressure algorithm against insider threats in wireless networks

Zhuo Lu, Jason H. Li, Yalin Evren Sagduyu, 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).