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.
Application of linear-frequency-modulated continuous-wave (lfmcw) radars for tracking of vital signs
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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.