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Introduction Deep Neural Networks (DNNs) are increasingly deployed in safety-critical applications (e.g., autonomous driving, avionics) and large-scale systems (e.g., LLMs), where hardware faults—such as process variations, defects, noise, or bit flips—can cause erroneous inferences with potentially severe consequences.