Corpus ID: 52134171

Differentially Private Change-Point Detection

@article{Cummings2018DifferentiallyPC,
  title={Differentially Private Change-Point Detection},
  author={Rachel Cummings and Sara Krehbiel and Yajun Mei and Rui Tuo and Wanrong Zhang},
  journal={ArXiv},
  year={2018},
  volume={abs/1808.10056}
}
  • Rachel Cummings, Sara Krehbiel, +2 authors Wanrong Zhang
  • Published 2018
  • Computer Science, Mathematics
  • ArXiv
  • The change-point detection problem seeks to identify distributional changes at an unknown change-point k* in a stream of data. This problem appears in many important practical settings involving personal data, including biosurveillance, fault detection, finance, signal detection, and security systems. The field of differential privacy offers data analysis tools that provide powerful worst-case privacy guarantees. We study the statistical problem of change-point problem through the lens of… CONTINUE READING

    Figures, Tables, and Topics from this paper.