Threat of adversarial attacks on DL-based IoT device identification Z Bao, Y Lin, S Zhang, Z Li, S Mao IEEE Internet of Things Journal 9 (11), 9012-9024, 2021 | 103 | 2021 |
GLR-SEI: green and low resource specific emitter identification based on complex networks and fisher pruning Y Lin, H Zha, Y Tu, S Zhang, W Yan, C Xu IEEE transactions on emerging topics in computational intelligence, 2023 | 34 | 2023 |
Adversarial attacks and defenses for digital communication signals identification Q Tian, S Zhang, S Mao, Y Lin Digital Communications and Networks 10 (3), 756-764, 2024 | 22 | 2024 |
DIBAD: A Disentangled Information Bottleneck Adversarial Defense Method using Hilbert-Schmidt Independence Criterion for Spectrum Security S Zhang, Y Yang, Z Zhou, Z Sun, Y Lin IEEE Transactions on Information Forensics and Security, 2024 | 10 | 2024 |
Spectrum focused frequency adversarial attacks for automatic modulation classification S Zhang, J Yu, Z Bao, S Mao, Y Lin arXiv preprint arXiv:2208.01919, 2022 | 9 | 2022 |
Channel-Robust Class-Universal Spectrum-Focused Frequency Adversarial Attacks on Modulated Classification Models S Zhang, J Fu, J Yu, H Xu, H Zha, S Mao, Y Lin IEEE Transactions on Cognitive Communications and Networking, 2024 | 8 | 2024 |
Adversarial domain generalization defense for automatic modulation classification S Zhang, J Liu, Z Bao, S Yu, Y Lin 2023 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2023 | 6 | 2023 |
A lightweight modulation classification network resisting white box gradient attacks S Zhang, Y Lin, Z Bao, J Fu Security and Communication Networks 2021 (1), 8921485, 2021 | 4 | 2021 |
Adversarial Domain Generalization Defense via Task-Relevant Feature Alignment in Cyber-Physical Systems S Zhang, J Liu, Z Bao, Y Yang, M Wang, Y Lin IEEE Transactions on Reliability, 2024 | 3 | 2024 |
HFAD: Homomorphic Filtering Adversarial Defense Against Adversarial Attacks in Automatic Modulation Classification S Zhang, Y Lin, J Yu, J Zhang, Q Xuan, D Xu, J Wang, M Wang IEEE Transactions on Cognitive Communications and Networking, 2024 | 3 | 2024 |
Maximum focal inter-class angular loss with norm constraint for automatic modulation classification S Zhang, J Fu, Z Zhang, S Yu, S Mao, Y Lin GLOBECOM 2022-2022 IEEE Global Communications Conference, 5323-5328, 2022 | 3 | 2022 |
Random Location Poisoning Backdoor Attack Against Automatic Modulation Classification in Wireless Networks Z Li, H Jiang, S Zhang, W Xiang, Y Lin 2023 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2023 | 2 | 2023 |
Modulation signal recognition model based on lightweight deep learning network [J] Z SICHENG, LIN YUN, K JIAN, T Ya Journal of Terahertz. Science and Electronic Information'Technology 19 (1 …, 2021 | 2 | 2021 |
Wavelet Domain Frequency Steganography Backdoor Attack for Misleading Automatic Modulation Classification S Zhang, L Li, Z Li, H Zhang, G Si, Y Wang, G Gui, Y Lin IEEE Internet of Things Journal, 2024 | | 2024 |
PFRTF: A Robust Training Framework to Counter Adversarial Attacks in Signal Classification for Next-G Consumer Electronics Z Bao, S Zhang, S Yang, Q Tian, Y Lin IEEE Transactions on Consumer Electronics, 2024 | | 2024 |
CMA: A Cross-Modal Attack on Radar Signal Recognition Model Based on Time-Frequency Analysis M Wang, S Zhang, Q Xuan, Y Lin ICC 2024-IEEE International Conference on Communications, 2119-2124, 2024 | | 2024 |
Adversarial Threats to Automatic Modulation Open Set Recognition in Wireless Networks Y Yang, S Zhang, K Li, Q Tian, Y Lin arXiv preprint arXiv:2405.05022, 2024 | | 2024 |