307 results on '"Sagduyu, Yalin E."'
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102. Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mm Wave Networks
103. Autoencoder-based Communications with Reconfigurable Intelligent Surfaces
104. Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications
105. Collision-Aware UAV Trajectories for Data Collection via Reinforcement Learning
106. Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks
107. Multi-layer optimization with backpressure and genetic algorithms for multi-hop wireless networks
108. Deep Reinforcement Learning for 5G Radio Access Network Slicing with Spectrum Coexistence
109. Adversarial Machine Learning for 5G Communications Security
110. Distributed stochastic power control in ad hoc networks: a nonconvex optimization case
111. Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing
112. Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning
113. Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing
114. Robust Improvement of the Age of Information by Adaptive Packet Coding
115. Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
116. Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction
117. Membership Inference Attack and Defense for Wireless Signal Classifiers With Deep Learning
118. Task-Oriented Communications for NextG: End-to-end Deep Learning and AI Security Aspects
119. Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing
120. Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks
121. DeepWiFi: Cognitive WiFi with Deep Learning
122. Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers
123. Scented Node Protocol for MANET Routing
124. Chapter 22 / Case Study: Robot Control: Swinging Like a Pendulum
125. How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy
126. Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing
127. Adversarial machine learning based partial-model attack in IoT
128. Over-the-air membership inference attacks as privacy threats for deep learning-based wireless signal classifiers
129. Integrating deep learning-based data driven and model-based approaches for inverse synthetic aperture radar target recognition
130. Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
131. Coherent Communications in Self-Organizing Networks With Distributed Beamforming
132. Federated learning for distributed spectrum sensing in NextG communication networks
133. Collective allostatic load measures for teams
134. QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning
135. Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA
136. Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning
137. Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments
138. Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification
139. IoT Network Security from the Perspective of Adversarial Deep Learning
140. Generative Adversarial Network for Wireless Signal Spoofing
141. Measuring the Collective Allostatic Load
142. Deep Learning for Launching and Mitigating Wireless Jamming Attacks
143. Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA)
144. Integrating Social Links into Wireless Networks: Modeling, Routing, Analysis, and Evaluation
145. Optimal Network-Centric Planning for Airborne Relay Communications
146. Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data
147. Collective allostatic load measures for teams.
148. Routing, Network Coding and TCP Support for Wideband HF Communications
149. Distributed Coherent Group Communications
150. Spectrum Data Poisoning with Adversarial Deep Learning
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