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Privacy in Social Networks by Lise Getoor, Evimaria Terzi, Elena Zheleva

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CHAPTER 5

Anonymity and Differential Privacy

The goal of data mining is discovering new and useful knowledge from data. Sometimes, the data contains sensitive information, and it needs to be sanitized before it is published publicly in order to address privacy concerns. Data sanitization is a complex problem in which hiding private information trades off with utility reduction. The goal of sanitization is to remove or perturb the attributes of the data which may help an adversary infer sensitive information, while maintaining the utility of the data for knowledge discovery. The solution depends on the properties of the data and the notions of privacy and utility in the data.

One way in which data providers can sanitize data is by anonymization. ...

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