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ON THE PRIVACY AND UTILITY PROPERTIES OF TRIPLE MATRIX-MASKING

Privacy protection is an important requirement in many statistical studies. A recently proposed data collection method, triple matrix-masking, retains exact summary statistics without exposing the raw data at any point in the process. In this paper, we provide theoretical formulation and proofs show...

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Detalles Bibliográficos
Autores principales: DING, A. ADAM, MIAO, GUANHONG, WU, SAMUEL S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580375/
https://www.ncbi.nlm.nih.gov/pubmed/34765907
http://dx.doi.org/10.29012/jpc.674