Let’s stride blindfolded in a forest : sublinear multi-client decision trees evaluation
Decision trees are popular machine-learning classification models due to their simplicity and effectiveness. Tai et al. (ESORICS ’17) propose a privacy-preserving decision-tree evaluation protocol purely based on additive homomorphic encryption, without introducing dummy nodes for hiding the tree s...
Main Authors: | Ma, Jack P. K., Tai, Raymond K. H., Zhao, Yongjun, Chow, Sherman S. M. |
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Other Authors: | Network and Distributed Systems Security (NDSS) Symposium 2021 |
Format: | Conference Paper |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/148326 |
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