TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-13945-1
DO  - doi
AB  - 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.
T1  - Privacy in statistical databases :International Conference, PSD 2022, Paris, France, September 21-23, 2022, Proceedings /
DA  - 2022.
CY  - Cham :
AU  - Domingo-Ferrer, Josep.
AU  - Laurent-Maknavicius, Maryline.
VL  - 13463
CN  - QA76.9.D343
PB  - Springer,
PP  - Cham :
PY  - 2022.
N1  - 3.2 Problem Definition
N1  - Includes author index.
ID  - 1449555
KW  - Database security
KW  - Data protection
KW  - Statistics
SN  - 9783031139451
SN  - 3031139453
TI  - Privacy in statistical databases :International Conference, PSD 2022, Paris, France, September 21-23, 2022, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-13945-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-13945-1
ER  -