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Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3236314
Abstract: Empowered by deep neural networks (DNNs), Wi-Fi fingerprinting has recently achieved astonishing localization performance to facilitate many security-critical applications in wireless networks, but it is inevitably exposed to adversarial attacks, where subtle perturbations can mislead…
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Keywords:
adversarial attacks;
learning fingerprinting;
attacks deep;
security ... See more keywords
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Published in 2019 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2018.2867459
Abstract: Deep learning (DL), despite its enormous success in many computer vision and language processing applications, is exceedingly vulnerable to adversarial attacks. We consider the use of DL for radio signal (modulation) classification tasks, and present…
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Keywords:
radio signal;
adversarial attacks;
attacks deep;
learning based ... See more keywords