Test-Driven Anonymization in Health Data: A Case Study on Assistive Reproduction

  1. Augusto, C.
  2. Olivero, M.A.
  3. Moran, J.
  4. Morales, L.
  5. De La Riva, C.
  6. Aroba, J.
  7. Tuya, J.
Proceedings:
Proceedings - 2020 IEEE International Conference on Artificial Intelligence Testing, AITest 2020

ISBN: 9781728169842

Year of publication: 2020

Pages: 81-82

Type: Conference paper

DOI: 10.1109/AITEST49225.2020.00019 GOOGLE SCHOLAR

Sustainable development goals

Data source: Scopus