• Corpus ID: 2804901

Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning

@article{Filipowicz2017DesensitizedRS,
  title={Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning},
  author={Artur Filipowicz and Thee Chanyaswad and S. Y. Kung},
  journal={ArXiv},
  year={2017},
  volume={abs/1707.07770}
}
The quest for better data analysis and artificial intelligence has lead to more and more data being collected and stored. As a consequence, more data are exposed to malicious entities. This paper examines the problem of privacy in machine learning for classification. We utilize the Ridge Discriminant Component Analysis (RDCA) to desensitize data with respect to a privacy label. Based on five experiments, we show that desensitization by RDCA can effectively protect privacy (i.e. low accuracy on… 
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