Research Article
Equation Chapter 1 Section 1 Differentially Private High-Dimensional Binary Data Publication via Adaptive Bayesian Network
Input: data set , attribute set , privacy budget | Output: Bayesian network | 1: Initialize ; | 2: Randomly select an attribute from the attribute set as , add to , and to , ; | 3: for to do | 4: Initialize collection ; | 5: For each, find and then add to ; | 6: Use the Exponential mechanism with privacy budget to select a from to add to with probability , and add to , ; | 7: end for | 8: return . |
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