Adversarial Learning in Transformer Based Neural Network in Radio Signal Classification
Author:
Affiliation:
1. Loughborough University,Wolfson School of Mechanical, Electrical and Manufacturing Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747508.pdf?arnumber=9747508
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2. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;arXiv preprint arXiv 2010 11419,2020
3. Modulation classification using convolutional neural networks and spatial transformer networks
4. A Novel Automatic Modulation Classification Method Using Attention Mechanism and Hybrid Parallel Neural Network
5. MCformer: A Transformer Based Deep Neural Network for Automatic Modulation Classification
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2. Shift‐invariant universal adversarial attacks to avoid deep‐learning‐based modulation classification;International Journal of Communication Systems;2023-04-11
3. Attention-Based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices;IEEE Internet of Things Journal;2023-02-01
4. Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey;IEEE Communications Surveys & Tutorials;2023
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