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Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments., , , , и . CoRR, (2019)An efficient sequential consistency implementation with dynamic race detection for GPUs., и . J. Parallel Distributed Comput., (мая 2024)DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware., , и . CoRR, (2022)PageORAM: An Efficient DRAM Page Aware ORAM Strategy., , и . MICRO, стр. 91-107. IEEE, (2022)Docker characterization on high performance SSDs., , , , , и . ISPASS, стр. 133-134. IEEE Computer Society, (2017)Analyzing the effects of compiler optimizations on application reliability., , и . IISWC, стр. 184-193. IEEE Computer Society, (2011)Benchmarking ISA reliability to intermittent errors., , , и . IISWC, стр. 86-87. IEEE Computer Society, (2012)Revealing Critical Loads and Hidden Data Locality in GPGPU Applications., , и . IISWC, стр. 120-129. IEEE Computer Society, (2015)Optimal time-resource allocation for activity-detection via multimodal sensing., , , , , , , и . BODYNETS, стр. 14. ICST, (2009)Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs., , , , , , , и . MILCOM, стр. 102-107. IEEE, (2021)