3 papers
stat.ME2023
Privacy-preserving Inference of Group Mean Difference in Zero-inflated Right Skewed Data with Partitioning and Censoring
Fang Liu, Ruyu Zhou, Yiming Paul Li +2
We examine privacy-preserving inferences of group mean differences in zero-inflated right-skewed (zirs) data. Zero inflation and right skewness are typical characteristics of ads c…
stat.ME2021
Privacy-Preserving Inference on the Ratio of Two Gaussians Using Sums
Jingang Miao, Yiming Paul Li
The ratio of two Gaussians is useful in many contexts of statistical inference. We discuss statistically valid inference of the ratio under Differential Privacy (DP). We use the de…
cs.CR2021
Privacy-Preserving Randomized Controlled Trials: A Protocol for Industry Scale Deployment
Mahnush Movahedi, Benjamin M. Case, Andrew Knox +6
In this paper, we outline a way to deploy a privacy-preserving protocol for multiparty Randomized Controlled Trials on the scale of 500 million rows of data and more than a billion…