Adversarial machine learning in wireless communications using RF data: A review

D Adesina, CC Hsieh, YE Sagduyu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …
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Adversarial Machine Learning in Wireless Communications Using RF Data: A Review

D Adesina, CC Hsieh, YE Sagduyu, L Qian - … Communications Surveys & …, 2023 - dl.acm.org
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …

Adversarial Machine Learning in Wireless Communications using RF Data: A Review

D Adesina, CC Hsieh, YE Sagduyu, L Qian - arXiv preprint arXiv …, 2020 - arxiv.org
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …

Adversarial Machine Learning in Wireless Communications using RF Data: A Review

D Adesina, CC Hsieh, YE Sagduyu, L Qian - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Abstract Machine learning (ML) provides effective means to learn from spectrum data and
solve complex tasks involved in wireless communications. Supported by recent advances in …
[PDF] academia.edu

[PDF][PDF] Adversarial Machine Learning in Wireless Communications Using RF Data: A Review

D Adesina, CC Hsieh, YE Sagduyu… - … SURVEYS & TUTORIALS, 2023 - academia.edu
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …