Understanding Privacy Risk of Publishing Decision Trees

@inproceedings{Zhu2010UnderstandingPR,
  title={Understanding Privacy Risk of Publishing Decision Trees},
  author={Zutao Zhu and Wenliang Du},
  booktitle={DBSec},
  year={2010}
}
Publishing decision trees can provide enormous benefits to the society. Meanwhile, it is widely believed that publishing decision trees can pose a potential risk to privacy. However, there is not much investigation on the privacy consequence of publishing decision trees. To understand this problem, we need to quantitatively measure privacy risk. Based on the well-established maximum entropy theory, we have developed a systematic method to quantify privacy risks when decision trees are published… CONTINUE READING
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