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Robust Eavesdropping in the Presence of Adversarial Communications for RF Fingerprinting

Yuan, Andrew et al.
arXiv (OAI Expanded) · Papers
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signal-processing
Deep learning is an effective approach for performing radio frequency (RF) fingerprinting, which aims to identify the transmitter corresponding to received RF signals. However, beyond the intended receiver, malicious eavesdroppers can also intercept signals and attempt to fingerprint transmitters co
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