Near-field mmWave imaging is highly vulnerable to waveform-domain attacks that conceal or alter targets with moderate power, with deep-learning algorithms demonstrating higher robustness than classical methods.
Who is in control? practical physical layer attack and defense for mmwave-based sensing in autonomous vehicles,
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Adversarial Robustness of Near-Field Millimeter-Wave Imaging under Waveform-Domain Attacks
Near-field mmWave imaging is highly vulnerable to waveform-domain attacks that conceal or alter targets with moderate power, with deep-learning algorithms demonstrating higher robustness than classical methods.