Work

Distribution-invariant differential privacy

Year: 2022

Type: article

Source: Journal of Econometrics

DOI: 10.1016/j.jeconom.2022.05.004

Authors: Xuan Bi, Xiaotong Shen

Institution: University of Minnesota

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences

Awards: Estimation and Inference of Gene Regulatory Networks, Discovering causal genes, brain regions and other risk factors for Alzheimer'a disease, Genetic Association and Personalized Medicine, FRG: Collaborative Research: Generative Learning on Unstructured Data with Applications to Natural Language Processing and Hyperlink Prediction, G4752526658, Deep Learning with Neuroimaging Genetic Data for Alzheimer's Disease, G6331700889, New Machine Learning Tools for Biomedical Data, G9000198982, G9000240281

OpenAlex ID: W3214526566

FWCI: 1.294

Cites: 65

Cited by: 21

Related to: 10