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The study explains the strengths, weaknesses, platforms, and evaluation metrics of these methods, highlighting that while FI is the most common approach, Analytical and Hybrid methods are more lightweight and still accurate, making them promising directions for future DNN reliability research. May. 11 MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing Paper Title: MRFI: An Open Source Multi-Resolution Fault Injection Framework for...