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