Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems

22 Feb 2019Meysam SadeghiErik G. Larsson

We show that end-to-end learning of communication systems through deep neural network (DNN) autoencoders can be extremely vulnerable to physical adversarial attacks. Specifically, we elaborate how an attacker can craft effective physical black-box adversarial attacks... (read more)

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