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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...
Autores principales: | DING, A. ADAM, MIAO, GUANHONG, WU, SAMUEL S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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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 |
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