Synthetic data disclosure risk assessment : a literature review / by Zhe Si Yu.: CS11-522/2024-1-16E-PDF
"The adoption of synthetic data generation as a confidentiality measure is increasing in statistical agencies worldwide, including at Statistics Canada. This approach provides an alternative to the traditional dissemination of anonymized public microdata files, offering both privacy protection and data utility. However, the creation of synthetic data presents challenges in assessing and mitigating disclosure risks. This paper reviews the different types of disclosure risks, that being attribute, membership and identify disclosure, and presents some of the associated methods for measuring risk"--Abstract, page [2].
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.966524&sl=0
| Department/Agency |
|
|---|---|
| Title | Synthetic data disclosure risk assessment : a literature review / by Zhe Si Yu. |
| Variant title |
|
| Series title |
|
| Publication type | Monograph - View Master Record |
| Language | [English] |
| Other language editions | [French] |
| Format | Digital text |
| Electronic document | |
| Note(s) |
|
| Publishing information |
|
| Author / Contributor |
|
| Description | 1 online resource (8 unnumbered pages). |
| Catalogue number |
|
| Departmental catalogue number | 11-522-X |
| Subject terms |
Request alternate formats
To request an alternate format of a publication, complete the Government of Canada Publications email form. Use the form’s “question or comment” field to specify the requested publication.Page details
- Date modified: