• TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications

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  • GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs

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  • Improving the Accuracy of IR-Level Fault Injection

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  • A Tale of Two Injectors: End-to-End Comparison of IR-level and Assembly-Level Fault Injection

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  • BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems

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  • TensorFI: A Configurable Fault Injector for TensorFlow Applications

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  • Modeling Soft-Error Propagation in Programs

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  • Modeling Input Dependent Error Propagation in Programs

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  • Understanding Error Propagation in Deep-Learning Neural Networks (DNN) Accelerators and Applications

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  • Configurable Detection of SDC-Causing Errors in Programs

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