[
  {
    "title": "Parsimonious Perturbation Mechanism for Magnitude Tables with Analytical Risk-Utility Metrics",
    "author": [
      {
        "given": "Julien",
        "family": "Jamme",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "editor": [
      {
        "given": "Josep",
        "family": "Domingo-Ferrer",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Ismael",
        "family": "González-Yero",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "booktitle": "Privacy in Statistical Databases. PSD 2026",
    "series": "Lecture Notes in Computer Science",
    "volume": "16925",
    "pages": "130--146",
    "publisher": "Springer",
    "address": "Cham",
    "year": "2027",
    "doi": "10.1007/978-3-032-37883-5_9"
  },
  {
    "title": "{dominoise}: Parsimonious Noise Perturbation for Magnitude Tables",
    "author": [
      {
        "given": "Julien",
        "family": "Jamme",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "year": "2026",
    "note": "R package version 0.2.0",
    "url": "https://github.com/InseeFrLab/dominoise"
  }
]