Sentence examples for privacy-preserving data sharing from inspiring English sources
"privacy-preserving data sharing" is a grammatically correct and commonly used phrase in written English
It refers to the practice of sharing sensitive or confidential data while still protecting the privacy of individuals or entities involved. Example: "The company implemented strict protocols for privacy-preserving data sharing to ensure that confidential customer information remains secure while being shared with authorized parties." In this sentence, the phrase "privacy-preserving data sharing" is used to describe the particular type of data sharing being implemented by the company.
Yu, F. & Ji, Z. Scalable privacy-preserving data sharing methodology for genome-wide association studies: an application to iDASH healthcare privacy protection challenge.
Thus, sampling rate is a crucial ingredient for designing a privacy-preserving data sharing scheme.
Thus, these two features should be avoided for the purpose of privacy-preserving data sharing.
It is straightforward to come up with the idea to combine the feature selection and sampling rate adjustment to achieve a better result for privacy-preserving data sharing.
Because data managers have no idea about the models to be used by data consumers, the remaining two factors should be focused to analyze the possibility of privacy-preserving data sharing.
Through interactive selection, users can accurately examine the preferred combinations to infer more related information about the data, so that the objective of privacy-preserving data sharing can be realized.
"Visualization based privacy-preserving scheme" describes the interactive visualization tool designed to provide a customized privacy preserving data sharing solution.
This observation convinces the contribution of the sampling rate adjustment on the privacy preserving data sharing.
This work proposed a privacy-preserving sensing data sharing solution, which can balance the application utility from data consumers' requests and the privacy concerns from the data contributors.
Experiments shown in "Factor analysis for the utility and privacy of accelerometer data sharing" have demonstrated that the combination of the feature selection and the sampling rate adjustment may enable a good privacy-preserving accelerometer data sharing scheme.
Data anonymization is an encouraging technique in the field of privacy-preserving data mining castoff to protect the data against identity disclosure.
