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ENTITY Daye Kang

Daye Kang

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  1. TOOL · CL_96292 ·

    Withdrawn paper reveals substrate-dependent adversarial failure in AI models

    A research paper, now withdrawn, explored adversarial robustness in object detectors, specifically focusing on a phenomenon termed "Quality Corruption" (QC). The study observed that one model, EMS-YOLO, a spiking neural…