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Adversarial Machine Learning in Wireless Communications using RF Data: A Review
[article]
2021
arXiv
pre-print
Machine learning (ML) provides effective means to learn from spectrum data and solve complex tasks involved in wireless communications. Supported by recent advances in computational resources and algorithmic designs, deep learning (DL) has found success in performing various wireless communication tasks such as signal recognition, spectrum sensing and waveform design. However, ML in general and DL in particular have been found vulnerable to manipulations thus giving rise to a field of study
arXiv:2012.14392v2
fatcat:4d3x2scwjvh33drc745mmc4gvy