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Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification. (arXiv:2208.01919v1 [cs.CR])
Aug. 4, 2022, 1:20 a.m. | Sicheng Zhang (1), Jiarun Yu (1), Zhida Bao (1), Shiwen Mao (2), Yun Lin (1) ((1) College of Information and Communication Engineering, Harbin Enginee
cs.CR updates on arXiv.org arxiv.org
Artificial intelligence (AI) technology has provided a potential solution for
automatic modulation recognition (AMC). Unfortunately, AI-based AMC models are
vulnerable to adversarial examples, which seriously threatens the efficient,
secure and trusted application of AI in AMC. This issue has attracted the
attention of researchers. Various studies on adversarial attacks and defenses
evolve in a spiral. However, the existing adversarial attack methods are all
designed in the time domain. They introduce more high-frequency components in
the frequency domain, due to abrupt …
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