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"iPrivJoin: An ID-Private Data Join Framework for Privacy-Preserving ..."

Yang Liu et al. (2023)

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DOI: 10.1109/TIFS.2023.3288455

access: closed

type: Journal Article

metadata version: 2023-08-05

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Yang Liu, Bingsheng Zhang, Yuxiang Ma, Zhuo Ma, Zecheng Wu:
iPrivJoin: An ID-Private Data Join Framework for Privacy-Preserving Machine Learning. IEEE Trans. Inf. Forensics Secur. 18: 4300-4312 (2023)

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