Corpus ID: 207880875

Data Poisoning Attacks to Local Differential Privacy Protocols

@article{Cao2019DataPA,
  title={Data Poisoning Attacks to Local Differential Privacy Protocols},
  author={Xiaoyu Cao and Jinyuan Jia and N. Gong},
  journal={ArXiv},
  year={2019},
  volume={abs/1911.02046}
}
Local Differential Privacy (LDP) protocols enable an untrusted data collector to perform privacy-preserving data analytics. In particular, each user locally perturbs his/her data to preserve privacy before sending it to the data collector, who aggregates the perturbed data to obtain statistics of interest. Over the past several years, researchers from multiple communities--such as security, database, and theoretical computer science-- have proposed many LDP protocols. These studies mainly… Expand
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