58 citations
- Virginia TechUS9 papers
- University of Maryland, College ParkUS4 papers
- Georgia Institute of TechnologyUS1 paper
- Old Dominion UniversityUS1 paper
- Syracuse UniversityUS1 paper
- University of California, IrvineUS1 paper
- University of IowaUS1 paper
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- University of South FloridaUS1 paper
6 papers · 1 filter
Coherent Communications in Self-Organizing Networks with Distributed Beamforming
Yi Shi, Yalin E. Sagduyu
Coherent communications aim to support higher data rates and extended connectivity at lower power consumption compared with traditional point-to-point transmissions. The typical se…
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks
Yalin E. Sagduyu, Yi Shi, Tugba Erpek
An adversarial deep learning approach is presented to launch over-the-air spectrum poisoning attacks. A transmitter applies deep learning on its spectrum sensing results to predict…
DeepWiFi: Cognitive WiFi with Deep Learning
Kemal Davaslioglu, Sohraab Soltani, Tugba Erpek +1
We present the DeepWiFi protocol, which hardens the baseline WiFi (IEEE 802.11ac) with deep learning and sustains high throughput by mitigating out-of-network interference. DeepWiF…
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning
Kemal Davaslioglu, Yalin E. Sagduyu
We present a Trojan (backdoor or trapdoor) attack that targets deep learning applications in wireless communications. A deep learning classifier is considered to classify wireless…
Generative Adversarial Network for Wireless Signal Spoofing
Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu
The paper presents a novel approach of spoofing wireless signals by using a general adversarial network (GAN) to generate and transmit synthetic signals that cannot be reliably dis…
Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA)
Tugba Erpek, Sennur Ulukus, Yalin E. Sagduyu
An interference regime enforcing rate maximization scheme is proposed to maximize the achievable ergodic sum-rate of the parallel Gaussian interference channels by enforcing very s…