Corpus ID: 145052986

Locally Differentially Private Naive Bayes Classification

@article{Yilmaz2019LocallyDP,
  title={Locally Differentially Private Naive Bayes Classification},
  author={Emre Yilmaz and Mohammad Al-Rubaie and J. Chang},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.01039}
}
  • Emre Yilmaz, Mohammad Al-Rubaie, J. Chang
  • Published 2019
  • Mathematics, Computer Science
  • ArXiv
  • In machine learning, classification models need to be trained in order to predict class labels. When the training data contains personal information about individuals, collecting training data becomes difficult due to privacy concerns. Local differential privacy is a definition to measure the individual privacy when there is no trusted data curator. Individuals interact with an untrusted data aggregator who obtains statistical information about the population without learning personal data. In… CONTINUE READING
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