Over-the-air adversarial attacks on deep learning based modulation classifier over wireless channels

B Kim, YE Sagduyu, K Davaslioglu… - 2020 54th Annual …, 2020 - ieeexplore.ieee.org
We consider a wireless communication system that consists of a transmitter, a receiver, and
an adversary. The transmitter transmits signals with different modulation types, while the …
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Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels

B Kim, YE Sagduyu, K Davaslioglu, T Erpek… - arXiv e …, 2020 - ui.adsabs.harvard.edu
We consider a wireless communication system that consists of a transmitter, a receiver, and
an adversary. The transmitter transmits signals with different modulation types, while the …
[PDF] umd.edu

[PDF][PDF] Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels

B Kim, YE Sagduyu, K Davaslioglu, T Erpek, S Ulukus - user.eng.umd.edu
We consider a wireless communication system that consists of a transmitter, a receiver, and
an adversary. The transmitter transmits signals with different modulation types, while the …

Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels

B Kim, YE Sagduyu, K Davaslioglu, T Erpek… - arXiv preprint arXiv …, 2020 - arxiv.org
We consider a wireless communication system that consists of a transmitter, a receiver, and
an adversary. The transmitter transmits signals with different modulation types, while the …
[PDF] researchgate.net

[PDF][PDF] Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels

B Kim, YE Sagduyu, K Davaslioglu, T Erpek, S Ulukus - researchgate.net
We consider a wireless communication system that consists of a transmitter, a receiver, and
an adversary. The transmitter transmits signals with different modulation types, while the …