Soamar Homsi
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2026
Adversarial Robustness of Near-Field Millimeter-Wave Imaging under Waveform-Domain Attacks
This paper systematically investigates the vulnerability of near-field mmWave imaging to physical waveform-domain adversarial attacks, demonstrating that while deep learning algorithms show higher robustness than classical methods, the technology remains highly susceptible to concealment and alteration of targets.
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