Stealthy Adversarial Attacks Against Automated Modulation Classification in Cognitive Radio
Author:
Affiliation:
1. Purdue University,Department of Computer and Information Technology,West Lafayette,IN
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219184/10219161/10219162.pdf?arnumber=10219162
Reference12 articles.
1. RF Datasets For Machine Learning — DeepSig,0
2. Adversarial Attacks on Deep-Learning Based Radio Signal Classification
3. Automatic Modulation Classification Based on Deep Learning for Software-Defined Radio
4. GNU Radio - The Free & Open Source Radio Ecosystem • GNU Radio,0
5. Adversarial Diversity and Hard Positive Generation
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