A black-box Carlini-Wagner attack on CNN and LSTM modulation classifiers causes a reported 60% performance drop, demonstrating transferability of adversarial examples in radio signal classification.
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Black-box Adversarial ML Attack on Modulation Classification
A black-box Carlini-Wagner attack on CNN and LSTM modulation classifiers causes a reported 60% performance drop, demonstrating transferability of adversarial examples in radio signal classification.