Abstract
The problem of ensuring privacy is relevant in connection with the development of big data technologies. One of the modern and most promising methods of privacy protection is the differential privacy. In this paper the differential privacy applications developed by big companies are investigated. The libraries’ capabilities and tools of Google, IBM, as well as packages in R are analyzed. The differential privacy process for data collected from users implemented by Apple is studied.
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