|Title||A Bayesian Network Schema for Lessoning Database Inference|
|Publication Type||Conference Paper|
|Year of Publication||2001|
|Authors||Chang, LW., and I. S. Moskowitz|
|Conference Name||International Conference on Computational Intelligence for Modeling, Control and Automation|
|Conference Location||Las Vegas, Nevada|
"Database inference" occurs when unauthorized users infer sensitive information from publicly released data. To protect against such "inference attacks," information that is probabilistically related to sensitive information must be examined and perhaps modified. We introduce a formal schema for database inference analysis, based upon a Bayesian network structure, which identifies critical parameters involved in the inference problem and represents them in a coherent framework.
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