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

25 September 2019

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

35 / 35 papers shown

Title
Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning Y. Sagduyu T. Erpek AAML 67 0 0 31 Dec 2024
Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals Srihari Kamesh Kompella Kemal Davaslioglu Y. Sagduyu Sastry Kompella 37 1 0 23 Oct 2024
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation Kemal Davaslioglu Sastry Kompella T. Erpek Y. Sagduyu 43 1 0 14 Oct 2024
T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge M. Belgiovine Joshua Groen Miquel Sirera Chinenye Tassie Ayberk Yarkin Yildiz Sage Trudeau Stratis Ioannidis Kaushik R. Chowdhury 99 2 0 09 Jan 2024
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning Y. Sagduyu T. Erpek 48 3 0 27 Dec 2023
Dynamic Online Modulation Recognition using Incremental Learning Ali Owfi Ali Abbasi Fatemeh Afghah Jonathan D. Ashdown K. Turck CLL 40 1 0 07 Dec 2023
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks Yi Shi Y. Sagduyu T. Erpek AAML 117 4 0 12 Jan 2023
Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing Yi Shi Y. Sagduyu 53 1 0 27 Dec 2022
Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning Y. Sagduyu AAML 50 2 0 22 Dec 2022
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks Y. Sagduyu FedML 76 8 0 21 Dec 2022
Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning Kemal Davaslioglu S. Boztaş M. C. Ertem Y. Sagduyu E. Ayanoglu SSL 81 26 0 07 Jul 2022
Automatic Machine Learning for Multi-Receiver CNN Technology Classifiers A. Y. Abyaneh Marwan Krunz 35 1 0 28 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks Yi Shi Y. Sagduyu T. Erpek FedML 71 17 0 06 Apr 2022
RF Signal Transformation and Classification using Deep Neural Networks Umar Khalid Nazmul Karim Nazanin Rahnavard 58 4 0 06 Apr 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 65 34 0 09 Mar 2022
Interference Suppression Using Deep Learning: Current Approaches and Open Challenges T. Oyedare Vijay K. Shah D. Jakubisin Jeffrey H. Reed 61 39 0 16 Dec 2021
DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks Zhuangzhuang Dai Yuhang He Tran Vu Niki Trigoni Andrew Markham 106 28 0 01 Dec 2021
Next2You: Robust Copresence Detection Based on Channel State Information Mikhail Fomichev L. F. Abanto-Leon Maximilian Stiegler Alejandro Molina Jakob Link M. Hollick 24 6 0 09 Nov 2021
Zero-bias Deep Neural Network for Quickest RF Signal Surveillance Yongxin Liu Yingjie Chen Jian Wang Shuteng Niu Dahai Liu Haoze Song 69 8 0 12 Oct 2021
Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models C. T. Fredieu A. Martone R. M. Buehrer 121 4 0 01 Oct 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning Yi Shi Y. Sagduyu 78 17 0 22 Jul 2021
Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT Yongxin Liu Jian Wang Jianqiang Li Shuteng Niu Haoze Song 25 2 0 08 Apr 2021
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey Yongxin Liu Jian Wang Jianqiang Li Shuteng Niu Haoze Song 113 137 0 25 Jan 2021
Adversarial Machine Learning for 5G Communications Security Y. Sagduyu T. Erpek Yi Shi AAML 85 43 0 07 Jan 2021
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks Tarun S. Cousik Vijay K. Shah T. Erpek Y. Sagduyu Jeffrey H. Reed 56 24 0 06 Jan 2021
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers Brian Kim Y. Sagduyu T. Erpek Kemal Davaslioglu S. Ulukus AAML 64 20 0 03 Dec 2020
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers Brian Kim Y. Sagduyu T. Erpek Kemal Davaslioglu S. Ulukus AAML 82 30 0 31 Jul 2020
Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks Tarun S. Cousik Vijay K. Shah Jeffrey H. Reed T. Erpek Y. Sagduyu 46 34 0 22 Jun 2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 89 119 0 11 May 2020
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications Yaman Umuroglu Yash Akhauri Nicholas J. Fraser Michaela Blott MQ 67 90 0 06 Apr 2020
A light neural network for modulation detection under impairments Thomas Courtat Hélion Marie du Mas des Bourboux 44 7 0 27 Mar 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions Y. Sagduyu Yi Shi T. Erpek William C. Headley Bryse Flowers G. Stantchev Zhuo Lu AAML 79 39 0 24 Jan 2020
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning Kemal Davaslioglu Y. Sagduyu AAML 56 58 0 23 Oct 2019
QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning Nof Abuzainab T. Erpek Kemal Davaslioglu Y. Sagduyu Yi Shi ... Mitesh P. Patel Frank Panettieri M. A. Qureshi Volkan Isler Aylin Yener 58 30 0 13 Oct 2019
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification S. Soltani Y. Sagduyu Raqibul Hasan Kemal Davaslioglu Hongmei Deng T. Erpek 48 32 0 13 Oct 2019