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YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning

Research article (arXiv (Cornell University), 2018) · cited 27× · AI/ML
academia openalex:W2946622848
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YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning

Summary

YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning is a scholarly article[1].

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  • YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning. Retrieved May 24, 2026, from https://4ort.xyz/entity/yerbabuena-securing-deep-learning-inference-data-via-enclave-based-ternary-model-partitioning
MLA “YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/yerbabuena-securing-deep-learning-inference-data-via-enclave-based-ternary-model-partitioning.
BibTeX @misc{4ortxyz_yerbabuena-securing-deep-learning-inference-data-via-enclave-based-ternary-model-partitioning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning}}, year = {2026}, url = {https://4ort.xyz/entity/yerbabuena-securing-deep-learning-inference-data-via-enclave-based-ternary-model-partitioning}, note = {Accessed: 2026-05-24}}
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