@article{1449555,
      note = {3.2 Problem Definition},
      author = {Domingo-Ferrer, Josep. and Laurent-Maknavicius, Maryline.},
      url = {http://library.usi.edu/record/1449555},
      title = {Privacy in statistical databases : International  Conference, PSD 2022, Paris, France, September 21-23, 2022,  Proceedings /. PSD (Conference : 2004- )},
      publisher = {Springer,},
      abstract = {This book constitutes the refereed proceedings of the  International Conference on Privacy in Statistical  Databases, PSD 2022, held in Paris, France, during  September 21-23, 2022. The 25 papers presented in this  volume were carefully reviewed and selected from 45  submissions. They were organized in topical sections as  follows: Privacy models; tabular data; disclosure risk  assessment and record linkage; privacy-preserving  protocols; unstructured and mobility data; synthetic data;  machine learning and privacy; and case studies.},
      doi = {https://doi.org/10.1007/978-3-031-13945-1},
      recid = {1449555},
      pages = {1 online resource (375 pages)},
      address = {Cham :},
      year = {2022},
}