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SecInfer: Secure and Efficient Model Inference on Vertically Partitioned Data

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Year: 2025
Type: conference-paper
Source: International Conference on Communications
DOI: 10.1109/icc52391.2025.11161429
Authors: Haotian Deng, Hongwei Li, Hanxiao Chen, Meng Hao, Pengzhi Xing, Jia Hu, Rui Zhang, Wenbo Jiang
Institutions: University of Electronic Science and Technology of China, Singapore Management University
Language: English

Topic: Cryptography and Data Security
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Key Research and Development Program of China
Awards: G5299590918, G5591686087, G580929315
OpenAlex ID: W4414539313
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Cites: 16
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