[author]Suresh Venkatasubramanian[/author]
In Privacy-Preserving Data Mining: Models and Algorithms (Springer). Ed. Charu Aggarwal, Philip S. Yu

An excerpt from the introduction:

In this chapter, we survey the various approaches that have been proposed to measure privacy (and the loss of privacy). Since most privacy concerns (especially those related to health-care information) are raised in the context of legal concerns, it is instructive to view privacy from a legal perspective, rather than from purely technical considerations.

It is beyond the scope of this survey\footnote{…and the expertise of the author!} to review the legal interpretations of privacy. However, one essay on privacy that appears directly relevant (and has inspired at least one paper surveyed here) is the view of privacy in terms of access that others have to us and our information, presented by Ruth Gavison. In her view, a general definition of privacy must be one that is measurable, of value, and actionable. The first property needs no explanation; the second means that the entity being considered private must be valuable, and the third property argues that from a legal
perspective, only those losses of privacy are interesting that can be prosecuted.

This survey, and much of the research on privacy, concerns itself with the measuring of privacy.

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