11 citations · 49 across the 16 of their papers we have counts for
9 papers · 1 filter
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems
Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu
This paper presents a deep reinforcement learning (DRL) solution for power control in wireless communications, describes its embedded implementation with WiFi transceivers for a Wi…
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing
Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu
The spoofing attack is critical to bypass physical-layer signal authentication. This paper presents a deep learning-based spoofing attack to generate synthetic wireless signals tha…
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…
QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning
Nof Abuzainab, Tugba Erpek, Kemal Davaslioglu +8
The problem of quality of service (QoS) and jamming-aware communications is considered in an adversarial wireless network subject to external eavesdropping and jamming attacks. To…
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification
Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan +3
We designed and implemented a deep learning based RF signal classifier on the Field Programmable Gate Array (FPGA) of an embedded software-defined radio platform, DeepRadio, that c…