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FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems.

, , , , , , and . DATE, page 430-435. IEEE, (2022)

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Minotaur: Adapting Software Testing Techniques for Hardware Errors., , , , , , and . ASPLOS, page 1087-1103. ACM, (2019)Inter-kernel Reuse-aware Thread Block Scheduling., , , , , and . ACM Trans. Archit. Code Optim., 17 (3): 24:1-24:27 (2020)Optimizing Selective Protection for CNN Resilience., , , , , , , , , and . ISSRE, page 127-138. IEEE, (2021)PyTorchFI: A Runtime Perturbation Tool for DNNs., , , , , , , and . DSN Workshops, page 25-31. IEEE, (2020)Towards scalable and specialized application error analysis. University of Illinois Urbana-Champaign, USA, (2020)MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles., , , , , , , , and . DATE, page 1-6. IEEE, (2023)Approxilyzer: Towards a systematic framework for instruction-level approximate computing and its application to hardware resiliency., , , and . MICRO, page 42:1-42:14. IEEE Computer Society, (2016)GoldenEye: A Platform for Evaluating Emerging Numerical Data Formats in DNN Accelerators., , , , and . DSN, page 206-214. IEEE, (2022)HarDNN: Feature Map Vulnerability Evaluation in CNNs., , , , , , , , , and . CoRR, (2020)Hardware Resilience Properties of Text-Guided Image Classifiers., , , , , and . CoRR, (2023)