The Government of Nova Scotia seeks to provide to the public greater access to designated records.

We study generalization for preserving privacy in publication of sensitive data. The existing methods focus on a universal approach that exerts the same amount of preservation for all persons, without catering for their concrete needs. The consequence is that we may be offering insufficient

from Edupage, 30 Sept 96] In each of these cases there is a public interest in having this information publicly available. Making information available about owners of 8 motor vehicles may help ensure safer operation. Making sales prices of houses available may help ensure the accuracy of tax assessments. My neighbors may care about the assessment of my house, not because they particularly care about my tax assessment, but because they care about their tax assessment. Whether or not such information should be publicly available would ideally depend on an individual benefit-cost analysis. If I am willing to pay more to keep my assessment private than my neighbors would be willing to pay to see it, we have a potential way to make everyone better off: I pay my neighbors for the right to keep my assessment private. If they value seeing my information more than I value keeping it private, then they pay me for the right to see it. This sort of transaction is not really practical for a va...

Creating a usable system to maintain the right level of privacy is an inherently difficult problem. Personal privacy assistants (PPA) are mobile appliances that help RFID users assess and control privacy risks by supporting awareness of privacy risks and suggesting relevant actions. This paper

Creating a usable system to maintain the right level of privacy is an inherently difficult problem. Personal privacy assistants (PPA) are mobile appliances that help RFID users assess and control privacy risks by supporting awareness of privacy risks and suggesting relevant actions. This paper

We study generalization for preserving privacy in publication of sensitive data. The existing methods focus on a universal approach that exerts the same amount of preservation for all persons, without catering for their concrete needs. The consequence is that we may be offering insufficient

Synopsis. People typically regard their sex lives as private, even when their sexual behavior is perfectly “normal ” and they have nothing to hide. What is it about sex that makes us so concerned with privacy? And why is privacy so important to us? These questions are connected, in a surprising

and accessible. As a consequence, new mobile and online applications have been developed, which need the location information of the users to offer enhanced services. However, the availability of such advanced services and functionalities comes at the price of an increasing risk of privacy attacks that aim

We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradigm for differentially private mechanisms, which we call Propose-Test-Release (PTR), and for which we give a formal definition and general composition theorems.

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