Adversarial Attacks on Deep-Learning Based Radio Signal Classification

23 Aug 2018Meysam SadeghiErik G. Larsson

Deep learning (DL), despite its enormous success in many computer vision and language processing applications, is exceedingly vulnerable to adversarial attacks. We consider the use of DL for radio signal (modulation) classification tasks, and present practical methods for the crafting of white-box and universal black-box adversarial attacks in that application... (read more)

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