Open AccessDifferential Privacy in Practice: Use Cases
Author(s) -
Karen A. Mastoyan
Publication year - 2021
Publication title -
mathematical problems of computer science
Language(s) - English
Resource type - Journals
eISSN - 2738-2788
pISSN - 2579-2784
DOI - 10.51408/1963-0078
Subject(s) - differential privacy , ibm , big data , computer science , privacy software , privacy protection , differential (mechanical device) , process (computing) , internet privacy , computer security , information privacy , engineering , data mining , materials science , aerospace engineering , nanotechnology , operating system
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.