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Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples. (arXiv:2201.08731v1 [cs.LG])
Jan. 24, 2022, 2:10 a.m. | Haidong Xie, Jia Tan, Xiaoying Zhang, Nan Ji, Haihua Liao, Zuguo Yu, Xueshuang Xiang, Naijin Liu
cs.LG updates on arXiv.org arxiv.org
Deep learning is applied to many complex tasks in the field of wireless
communication, such as modulation recognition of spectrum waveforms, because of
its convenience and efficiency. This leads to the problem of a malicious third
party using a deep learning model to easily recognize the modulation format of
the transmitted waveform. Some existing works address this problem directly
using the concept of adversarial examples in the image domain without fully
considering the characteristics of the waveform transmission in the …
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