Evaluating and Improving Adversarial Attacks on DNN-Based Modulation Recognition
Author:
Funder
Harbin Engineering University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9322055/9321973/09322088.pdf?arnumber=9322088
Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Channel-Robust Class-Universal Spectrum-Focused Frequency Adversarial Attacks on Modulated Classification Models;IEEE Transactions on Cognitive Communications and Networking;2024-08
2. CMA: A Cross-Modal Attack on Radar Signal Recognition Model Based on Time-Frequency Analysis;ICC 2024 - IEEE International Conference on Communications;2024-06-09
3. Deterrence of Adversarial Perturbations: Moving Target Defense for Automatic Modulation Classification in Wireless Communication Systems;ICC 2024 - IEEE International Conference on Communications;2024-06-09
4. Adaptive Whitening and Feature Gradient Smoothing-Based Anti-Sample Attack Method for Modulated Signals in Frequency-Hopping Communication;Electronics;2024-05-05
5. Data Augmentation Aided Automatic Modulation Recognition Using Diffusion Model;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21
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