Private Evaluation of Decision Trees using Sublinear Cost

Decision trees are widespread machine learning models used for data classification and have many applications in areas such as healthcare, remote diagnostics, spam filtering, etc. In this paper, we address the problem of privately evaluating a decision tree on private data. In this scenario, the ser...

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Bibliographic Details
Main Authors: Tueno Anselme, Kerschbaum Florian, Katzenbeisser Stefan
Format: Article
Language:English
Published: Sciendo 2019-01-01
Series:Proceedings on Privacy Enhancing Technologies
Subjects:
Online Access:https://doi.org/10.2478/popets-2019-0015