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GPUs Neutron Sensitivity Dependence on Data Type., , and . J. Electron. Test., 30 (3): 307-316 (2014)Kernel and layer vulnerability factor to evaluate object detection reliability in GPUs., , and . IET Comput. Digit. Tech., 13 (3): 178-186 (2019)Experimental Findings on the Sources of Detected Unrecoverable Errors in GPUs., , , , , and . CoRR, (2021)Estimating Silent Data Corruption Rates Using a Two-Level Model., , , , , , , , , and . CoRR, (2020)Characterizing a Neutron-Induced Fault Model for Deep Neural Networks., , , , , , and . CoRR, (2022)Evaluation of Histogram of Oriented Gradients Soft Errors Criticality for Automotive Applications., , , , , and . ACM Trans. Archit. Code Optim., 13 (4): 38:1-38:25 (2016)Reliability of Google's Tensor Processing Units for Convolutional Neural Networks., and . DSN (Supplements), page 25-27. IEEE, (2022)Revealing GPUs Vulnerabilities by Combining Register-Transfer and Software-Level Fault Injection., , , , and . DSN, page 292-304. IEEE, (2021)Voltage scaling and aging effects on soft error rate in SRAM-based FPGAs., , , , , , , , , and . Microelectron. Reliab., 54 (9-10): 2344-2348 (2014)Protecting GPU's Microarchitectural Vulnerabilities via Effective Selective Hardening., , , , and . IOLTS, page 1-7. IEEE, (2021)