RevFRF: Enabling Cross-Domain Random Forest Training With Revocable Federated Learning

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

Privacy-preserving and high-accurate outsourced disease predictor on random forest

(2019) Zhuoran Ma et al.   INFORMATION SCIENCES

DeepPAR and DeepDPA: Privacy Preserving and Asynchronous Deep Learning for Industrial IoT

(2019) Xiaoyu Zhang et al.   IEEE Transactions on Industrial Informatics

Demystifying Membership Inference Attacks in Machine Learning as a Service

(2019) Stacey Truex et al.   IEEE Transactions on Services Computing

Federated learning of predictive models from federated Electronic Health Records

(2018) Theodora S. Brisimi et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Machine Learning in Compiler Optimization

(2018) Zheng Wang et al.   PROCEEDINGS OF THE IEEE

New publicly verifiable computation for batch matrix multiplication

(2017) Xiaoyu Zhang et al.   INFORMATION SCIENCES

An Efficient Privacy-Preserving Outsourced Calculation Toolkit With Multiple Keys

(2016) Ximeng Liu et al.   IEEE Transactions on Information Forensics and Security

A Random Decision Tree Framework for Privacy-Preserving Data Mining

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