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Web-based inference detection [video]
Newly published data, when combined with existing public knowledge, allows for complex and sometimes unintended inferences. We propose semi-automated tools for detecting these inferences prior to releasing data. Our tools give data owners a fuller understanding of the implications of releasing data and help them adjust the amount of data they release to avoid unwanted inferences...allow us to automatically estimate the likelihood of certain inferences. Potentially dangerous inferences are flagged for manual review. We call this new technology Web-based inference control.
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