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harDNNing: a machine-learning-based framework for fault tolerance assessment and protection of DNNs.

, , and . ETS, page 1-6. IEEE, (2023)

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XbarGen: A memristor based boolean logic synthesis tool., , , and . VLSI-SoC, page 1-6. IEEE, (2016)A Design Space Exploration Framework for Memristor-Based Crossbar Architecture., , , , and . DDECS, page 38-43. IEEE, (2022)Input-Aware Approximate Computing., , , , , , , , and . AQTR, page 1-6. IEEE, (2022)Special session: How approximate computing impacts verification, test and reliability., , , , , , , and . VTS, page 1. IEEE Computer Society, (2018)Formal Design Space Exploration for memristor-based crossbar architecture., , and . DDECS, page 145-150. IEEE, (2017)Efficient Neural Network Approximation via Bayesian Reasoning., , , and . DDECS, page 45-50. IEEE, (2021)Improving the Fault Resilience of Neural Network Applications Through Security Mechanisms., , , , and . DSN (Supplements), page 23-24. IEEE, (2022)Evaluating the Code Encryption Effects on Memory Fault Resilience., , , , and . LATS, page 1-6. IEEE, (2020)Evaluating Data Encryption Effects on the Resilience of an Artificial Neural Network., , , , and . DFT, page 1-4. IEEE, (2020)Towards Dependable RISC-V Cores for Edge Computing Devices., , , , , , , , , and . IOLTS, page 1-7. IEEE, (2023)