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Secure Inference With Model Splitting Across Multi-Server ...
arXiv
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由 S Chen 著作2024被引用 1 次 — In this paper, we introduce SECO, a secure inference protocol that enables a user holding an input data vector and multiple server nodes deployed with a split ...
SECO: Secure Inference With Model Splitting Across Multi ...
arXiv
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arXiv
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In this paper, we introduce SECO, a secure inference protocol that enables a user holding an input data vector and multiple server nodes deployed with a split ...
[PDF] SECO: Secure Inference With Model Splitting Across Multi ...
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SECO is introduced, a secure inference protocol that enables a user holding an input data vector and multiple server nodes deployed with a split neural ...
SECO: Secure Inference With Model Splitting Across Multi- ...
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本文介绍了SECO，这是一种安全推理协议，它使持有输入数据向量和部署有分裂神经网络模型的多个服务器节点的用户能够协作计算预测，而不会危及任何一方的数据隐私。我们将之前 ...
SECO: Secure Inference With Model Splitting Across Multi ...
AIModels.fyi
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AIModels.fyi
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2024年4月25日 — The paper proposes a secure inference system called SECO that splits a machine learning model across a multi-server hierarchy.
Shuangyi Chen - Google 学术搜索
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SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy. S Chen, A Khisti. arXiv preprint arXiv:2404.16232, 2024. 1, 2024. Secure Inference ...
Distributed Privacy-Preserving Machine Learning via ...
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In the thesis, we propose two privacy-preserving ML protocols: a secure inference protocol with model splitting across multi-server hierarchy and a secure ...
Shuangyi Chen
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2024年10月12日 — Secure Inference for Vertically Partitioned Data Using ... SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy.
Privacy-Preserving Hierarchical Model-Distributed Inference
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2024年11月3日 — Seco: Secure inference with model splitting across multi-server hierarchy. S Chen; A Khisti. Autoprivacy: Automated layer-wise parameter ...
SeSeMI: Secure Serverless Model Inference on Sensitive ...
AIModels.fyi
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AIModels.fyi
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2024年12月16日 — This paper proposes a secure inference system called SECO that splits a machine learning model across a hierarchy of servers to protect the ...