collaborators

5 papers

stat.AP2022

A gated group sequential design for seamless Phase II/III trial with subpopulation selection

Guanhong Miao, Jason J. Z. Liao, Jing Yang +1

Due to the high cost and high failure rate of Phase III trials, seamless Phase II/III designs are more and more popular to trial efficiency. A potential attraction of Phase II/III…

cs.CR2022

Real-time privacy preserving disease diagnosis using ECG signal

Guanhong Miao, A. Adam Ding, Samuel S. Wu

The rapid development in Internet of Medical Things (IoMT) boosts the opportunity for real-time health monitoring using various data types such as electroencephalography (EEG) and…

cs.CR2022

Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data

Guanhong Miao

Internet of Things devices are expanding rapidly and generating huge amount of data. There is an increasing need to explore data collected from these devices. Collaborative learnin…

cs.CR2022

Linear Model Against Malicious Adversaries with Local Differential Privacy

Guanhong Miao, A. Adam Ding, Samuel S. Wu

Scientific collaborations benefit from collaborative learning of distributed sources, but remain difficult to achieve when data are sensitive. In recent years, privacy preserving t…

cs.CR2022

Reducing Noise Level in Differential Privacy through Matrix Masking

A. Adam Ding, Samuel S. Wu, Guanhong Miao +1

Differential privacy schemes have been widely adopted in recent years to address issues of data privacy protection. We propose a new Gaussian scheme combining with another data pro…