Researchers developed RAPTOR, a patent-pending optical counterfeit detection method for chips used in semiconductor devices. It leverages deep learning to identify tampering. It improves upon traditional methods, which face challenges in scalability and discriminating between natural degradation and adversarial tampering.
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