Black-box Adversarial ML Attack on Modulation Classification

1 Aug 2019Muhammad UsamaJunaid QadirAla Al-Fuqaha

Recently, many deep neural networks (DNN) based modulation classification schemes have been proposed in the literature. We have evaluated the robustness of two famous such modulation classifiers (based on the techniques of convolutional neural networks and long short term memory) against adversarial machine learning attacks in black-box settings... (read more)

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