Differential Privacy of Hierarchical Census Data: An Optimization Approach

Ferdinando Fioretto, Pascal Van Hentenryck. Differential Privacy of Hierarchical Census Data: An Optimization Approach. In Thomas Schiex, Simon de Givry, editors, Principles and Practice of Constraint Programming - 25th International Conference, CP 2019, Stamford, CT, USA, September 30 - October 4, 2019, Proceedings. Volume 11802 of Lecture Notes in Computer Science, pages 639-655, Springer, 2019. [doi]

@inproceedings{FiorettoH19-1,
  title = {Differential Privacy of Hierarchical Census Data: An Optimization Approach},
  author = {Ferdinando Fioretto and Pascal Van Hentenryck},
  year = {2019},
  doi = {10.1007/978-3-030-30048-7_37},
  url = {https://doi.org/10.1007/978-3-030-30048-7_37},
  researchr = {https://researchr.org/publication/FiorettoH19-1},
  cites = {0},
  citedby = {0},
  pages = {639-655},
  booktitle = {Principles and Practice of Constraint Programming - 25th International Conference, CP 2019, Stamford, CT, USA, September 30 - October 4, 2019, Proceedings},
  editor = {Thomas Schiex and Simon de Givry},
  volume = {11802},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-30048-7},
}