Composition properties of inferential privacy for time-series data

@article{Song2017CompositionPO,
  title={Composition properties of inferential privacy for time-series data},
  author={Shuang Song and Kamalika Chaudhuri},
  journal={2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)},
  year={2017},
  pages={814-821}
}
  • Shuang Song, Kamalika Chaudhuri
  • Published 2017
  • Computer Science, Mathematics
  • 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
  • With the proliferation of mobile devices and the internet of things, developing principled solutions for privacy in time series applications has become increasingly important. While differential privacy is the gold standard for database privacy, many time series applications require a different kind of guarantee, and a number of recent works have used some form of inferential privacy to address these situations. However, a major barrier to using inferential privacy in practice is its lack of… CONTINUE READING

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