OCE-PTree: An Online Communication Efficient Privacy–Preserving Decision Tree Evaluation

Qinghui Zhang; Xiaojun Chen; Xudong Chen; Xin Zhao; Weizhan Jing; Tingyu Fan

Security and Privacy in Communication Networks. 20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28–30, 2024, Proceedings, Part I

Research Article

OCE-PTree: An Online Communication Efficient Privacy–Preserving Decision Tree Evaluation

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-031-94445-1_7,
    author={Qinghui Zhang and Xiaojun Chen and Xudong Chen and Xin Zhao and Weizhan Jing and Tingyu Fan},
    title={OCE-PTree: An Online Communication Efficient Privacy--Preserving Decision Tree Evaluation},
    proceedings={Security and Privacy in Communication Networks. 20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28--30, 2024, Proceedings, Part I},
    proceedings_a={SECURECOMM},
    year={2026},
    month={9},
    keywords={Privacy-preserving Secret sharing Decision tree},
    doi={10.1007/978-3-031-94445-1_7}
}

Qinghui Zhang
Xiaojun Chen
Xudong Chen
Xin Zhao
Weizhan Jing
Tingyu Fan
Year: 2026
OCE-PTree: An Online Communication Efficient Privacy–Preserving Decision Tree Evaluation
SECURECOMM
Springer
DOI: 10.1007/978-3-031-94445-1_7

Qinghui Zhang¹^,*, Xiaojun Chen¹^,*, Xudong Chen¹, Xin Zhao¹, Weizhan Jing¹, Tingyu Fan¹

1: Chinese Academy of Sciences

*Contact email: zhangqinghui@iie.ac.cn, chenxiaojun@iie.ac.cn

Abstract

Privacy-preserving Decision Tree Evaluation (PDTE) is a promising approach to private Machine-Learning-as-a-Service, enabling clients to classify their data using tree models provided by model owners while only revealing the evaluation result to clients. However, the expensive overhead of current schemes is still an obstacle in practical applications.

Keywords: Privacy-preserving, Secret sharing, Decision tree

Published: 2026-09-29
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-031-94445-1_7

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OCE-PTree: An Online Communication Efficient Privacy–Preserving Decision Tree Evaluation

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