Differential privacy protection method for decision tree ensemble model

Author:

Qin Xia1ORCID,Ge Lina1ORCID,Wang Jie1ORCID

Affiliation:

1. School of Artificial Intelligence, Guangxi Minzu University, China

Funder

Guangxi Natural Science Foundation

National Natural Science Foundation of China

Publisher

ACM

Reference22 articles.

1. Cynthia Dwork , Frank McSherry , Kobbi Nissim and Adam Smith . 2006 . Calibrating Noise to Sensitivity in Private Data Analysis. Lecture Notes in Computer Science, vol. 3876 . Springer , Berlin, Heidelberg. https://doi.org/10.1007/11681878_14 10.1007/11681878_14 Cynthia Dwork, Frank McSherry, Kobbi Nissim and Adam Smith. 2006. Calibrating Noise to Sensitivity in Private Data Analysis. Lecture Notes in Computer Science, vol. 3876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11681878_14

2. A firm foundation for private data analysis

3. Efficient privacy-preserving classification construction model with differential privacy technology

4. Yang Chen Shoujian Yu. 2017. Research on differential privacy for decision tree release technology.Computer And Modernization (3):59-64. Yang Chen Shoujian Yu. 2017. Research on differential privacy for decision tree release technology.Computer And Modernization (3):59-64.

5. A differentially private greedy decision forest classification algorithm with high utility

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