Papers citing 'Adversarial Attacks on Deep-Learning Based Radio Signal Classification'

Title
Cybersecurity of High-Altitude Platform Stations: Threat Taxonomy, Attacks and Defenses with Standards Mapping - DDoS Attack Use Case Chaouki Hjaiji Bassem Ouni Mohamed-Slim Alouini 56 0 0 16 Nov 2025
Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification Ali Owfi Amirmohammad Bamdad Tolunay Seyfi Fatemeh Afghah 76 0 0 03 Nov 2025
ZK-SenseLM: Verifiable Large-Model Wireless Sensing with Selective Abstention and Zero-Knowledge Attestation Hasan Akgul Mari Eplik Javier Rojas Aina Binti Abdullah Pieter van der Merwe 148 0 0 29 Oct 2025
Black-Box Evasion Attacks on Data-Driven Open RAN Apps: Tailored Design and Experimental Evaluation Pranshav Gajjar Molham Khoja Abiodun Ganiyu Marc Juarez Mahesh K. Marina Andrew Lehane Vijay K. Shah 114 0 0 20 Oct 2025
A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal ClassificationGlobal Communications Conference (GLOBECOM), 2021 Lu Zhang S. Lambotharan G. Zheng Fabio Roli AAML 110 2 0 13 Jun 2025
Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT DevicesIEEE Internet of Things Journal (IEEE IoT J.), 2023 Lu Zhang S. Lambotharan G. Zheng G. Liao Basil AsSadhan Fabio Roli AAML 148 13 0 13 Jun 2025
A look at adversarial attacks on radio waveforms from discrete latent space Attanasia Garuso S. Kokalj-Filipovic Yagna Kaasaragadda 159 0 0 11 Jun 2025
Adaptive Meta-learning-based Adversarial Training for Robust Automatic Modulation Classification Amirmohammad Bamdad Ali Owfi Fatemeh Afghah AAML 93 3 0 03 Jan 2025
Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep LearningIEEE Internet of Things Journal (IEEE IoT J.), 2024 Y. Sagduyu T. Erpek AAML 133 2 0 31 Dec 2024
Towards Secured Smart Grid 2.0: Exploring Security Threats, Protection Models, and ChallengesIEEE Communications Surveys and Tutorials (COMST), 2024 Lan-Huong Nguyen V. Nguyen Ren-Hung Hwang Jian-Jhih Kuo Yu-Wen Chen Chien-Chung Huang Ping-I Pan 370 22 0 07 Nov 2024
Signal Adversarial Examples Generation for Signal Detection Network via White-Box Attack Dongyang Li Linyuan Wang Guangwei Xiong Bin Yan Dekui Ma Jinxian Peng AAML 68 1 0 02 Oct 2024
Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification Deepsayan Sadhukhan N. Shankar Sheetal Kalyani AAML 154 0 0 17 Sep 2024
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification Lu Zhang S. Lambotharan G. Zheng G. Liao Ambra Demontis Fabio Roli AAML 129 16 0 09 Jul 2024
Countermeasures Against Adversarial Examples in Radio Signal Classification Lu Zhang S. Lambotharan G. Zheng Basil AsSadhan Fabio Roli AAML 125 24 0 09 Jul 2024
Backdoor Attacks and Defenses on Semantic-Symbol Reconstruction in Semantic Communications Yuan-hua Zhou R. Hu Yi Qian AAML 118 7 0 20 Apr 2024
Adversarial Robustness of Distilled and Pruned Deep Learning-based Wireless Classifiers N. Baishya B. R. Manoj AAML 113 0 0 11 Apr 2024
Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam Moustafa Saleh AAML 120 9 0 11 Mar 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks Federica Granese Marco Romanelli Pablo Piantanida AAML 194 0 0 24 Feb 2024
System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular NetworksWireless Network Security (WiSec), 2024 Azuka J. Chiejina Brian Kim Kaushik Chowhdury Vijay K. Shah AAML 179 25 0 10 Feb 2024
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning Y. Sagduyu T. Erpek 129 4 0 27 Dec 2023
Radio Signal Classification by Adversarially Robust Quantum Machine Learning Yanqiu Wu E. Adermann Chandra Thapa S. Çamtepe Hajime Suzuki Muhammad Usman AAML 131 5 0 13 Dec 2023
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication SystemsNetwork and Distributed System Security Symposium (NDSS), 2023 Jung-Woo Chang Ke Sun Nasimeh Heydaribeni Seira Hidano Xinyu Zhang F. Koushanfar AAML 207 1 0 01 Nov 2023
AIR: Threats of Adversarial Attacks on Deep Learning-Based Information RecoveryIEEE Transactions on Wireless Communications (IEEE TWC), 2023 Jinyin Chen Jie Ge Shilian Zheng Linhui Ye Haibin Zheng Weiguo Shen Keqiang Yue Xiaoniu Yang AAML 192 2 0 17 Aug 2023
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications? Ou Zheng Mohamed Abdel-Aty Dongdong Wang Zijin Wang Shengxuan Ding LM&MA 177 18 0 06 Mar 2023
Over-The-Air Adversarial Attacks on Deep Learning Wi-Fi FingerprintingIEEE Internet of Things Journal (IEEE IoT J.), 2023 Fei Xiao Yong Huang Yingying Zuo Wei Kuang Wei Wang AAML 101 9 0 10 Jan 2023
Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep LearningIEEE Military Communications Conference (MILCOM), 2022 Y. Sagduyu AAML 101 2 0 22 Dec 2022
Adversarial Attack on Radar-based Environment Perception Systems Amira Guesmi Ihsen Alouani AAML 199 3 0 02 Nov 2022
Maximum Likelihood Distillation for Robust Modulation ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Javier Maroto Gérôme Bovet P. Frossard AAML 75 7 0 01 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for MetaversesACM Computing Surveys (ACM CSUR), 2022 Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 207 51 0 24 Oct 2022
Universal Fourier Attack for Time SeriesIEEE Open Journal of Signal Processing (JOSP), 2022 Elizabeth Coda B. Clymer Chance N. DeSmet Y. Watkins Michael Girard 149 1 0 02 Sep 2022
Deep Multi-Scale Representation Learning with Attention for Automatic Modulation ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2022 Xiaowei Wu Shengyun Wei Yan Zhou 54 3 0 31 Aug 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning O. Odeyomi Olubiyi O. Akintade T. Olowu G. Záruba AILaw 3DV AI4TS 150 1 0 16 Aug 2022
Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification Sicheng Zhang Jiarun Yu Zhida Bao S. Mao Yun Lin AAML 112 10 0 03 Aug 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial ExamplesIEEE Transactions on Network and Service Management (IEEE TNSM), 2022 Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 210 17 0 04 Jul 2022
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and TrainingIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2022 B. Manoj Meysam Sadeghi Erik G. Larsson AAML 124 15 0 14 Jun 2022
Mixture GAN For Modulation Classification Resiliency Against Adversarial AttacksGlobal Communications Conference (GLOBECOM), 2022 Eyad Shtaiwi Ahmed El Ouadrhiri Majid Moradikia Salma Sultana Ahmed M Abdelhadi Zhu Han AAML GAN 129 13 0 29 May 2022
Machine Learning in NextG Networks via Generative Adversarial NetworksIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2022 E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 151 40 0 09 Mar 2022
Real-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks R. Sandler Peter K. Relich Cloud Cho Sean Holloway AAML 86 6 0 20 Feb 2022
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial ExamplesURSI General Assembly and Scientific Symposium (URSI GASS), 2021 Haidong Xie Jia Tan Xiaoying Zhang Nan Ji Haihua Liao Zuguo Yu Xueshuang Xiang Naijin Liu AAML 182 2 0 20 Jan 2022
Jamming Attacks on Federated Learning in Wireless Networks Yi Shi Y. Sagduyu 213 14 0 13 Jan 2022
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent SurfacesIEEE Wireless Communications and Networking Conference (WCNC), 2021 Brian Kim T. Erpek Y. Sagduyu S. Ulukus AAML 153 17 0 21 Dec 2021
Binarized ResNet: Enabling Robust Automatic Modulation Classification at the resource-constrained Edge Deepsayan Sadhukhan N. Shankar Nancy Nayak¢Ó Thulasi Tholeti¢Ô Sheetal Kalyani¢Ó MQ 97 6 0 27 Oct 2021
Universal Adversarial Attacks on Neural Networks for Power Allocation in a Massive MIMO SystemIEEE Wireless Communications Letters (WCL), 2021 P. M. Santos M. I. B. R. Manoj Member Ieee Meysam Sadeghi F. I. Erik G. Larsson AAML 124 16 0 10 Oct 2021
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications Brian Kim Yi Shi Y. Sagduyu T. Erpek S. Ulukus AAML 245 29 0 16 Sep 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep LearningIEEE Transactions on Mobile Computing (IEEE TMC), 2021 Yi Shi Y. Sagduyu 125 19 0 22 Jul 2021
SafeAMC: Adversarial training for robust modulation recognition models Javier Maroto Gérôme Bovet P. Frossard AAML 204 10 0 28 May 2021
On the benefits of robust models in modulation recognition Javier Maroto Gérôme Bovet P. Frossard AAML 101 4 0 27 Mar 2021
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and BeyondSymposium on Software Performance (SP), 2021 Brian Kim Y. Sagduyu T. Erpek S. Ulukus AAML 163 25 0 25 Mar 2021
A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks Yudi Dong Huaxia Wang Yu-dong Yao AAML GAN 67 7 0 03 Mar 2021
Robust Adversarial Attacks Against DNN-Based Wireless Communication SystemsConference on Computer and Communications Security (CCS), 2021 Alireza Bahramali Milad Nasr Amir Houmansadr Dennis Goeckel Don Towsley AAML 157 71 0 01 Feb 2021