PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees

Blockchain-Assisted Transparent Cross-Domain Authorization and Authentication for Smart City

(2022) Cheng Huang et al.   IEEE Internet of Things Journal

Blockchain-Assisted Personalized Car Insurance With Privacy Preservation and Fraud Resistance

(2022) Cheng Huang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

SecureBoost: A Lossless Federated Learning Framework

(2021) Kewei Cheng et al.   IEEE INTELLIGENT SYSTEMS

Privacy preserving vertical federated learning for tree-based models

(2020) Yuncheng Wu et al.   Proceedings of the VLDB Endowment

Securely and Efficiently Outsourcing Decision Tree Inference

(2020) Yifeng Zheng et al.   IEEE Transactions on Dependable and Secure Computing

Federated Forest

(2020) Yang Liu et al.   IEEE Transactions on Big Data

Efficient and Secure Decision Tree Classification for Cloud-Assisted Online Diagnosis Services

(2019) Jinwen Liang et al.   IEEE Transactions on Dependable and Secure Computing

A Random Decision Tree Framework for Privacy-Preserving Data Mining

(2013) Jaideep Vaidya et al.   IEEE Transactions on Dependable and Secure Computing

Decision tree classifiers for automated medical diagnosis

(2012) Ahmad Taher Azar et al.   NEURAL COMPUTING & APPLICATIONS

Classification and regression trees

(2011) Wei-Yin Loh   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Privacy-preserving decision trees over vertically partitioned data

(2008) Jaideep Vaidya et al.   ACM Transactions on Knowledge Discovery from Data