SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts, a geographically partitioned, limited feature data set.The deidentified data report evaluates utility and privacy of a given deidentified dataset and generates a summary quality report with performance of a deidentified dataset enumerated and illustrated for each utility and privacy metric.
About this Dataset
| Title | SDNist v2: Deidentified Data Report Tool |
|---|---|
| Description | SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts, a geographically partitioned, limited feature data set.The deidentified data report evaluates utility and privacy of a given deidentified dataset and generates a summary quality report with performance of a deidentified dataset enumerated and illustrated for each utility and privacy metric. |
| Modified | 2023-03-13 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | private information sharing , differential privacy , privacy , benchmarks , synthetic data |
{
"identifier": "ark:\/88434\/mds2-2943",
"accessLevel": "public",
"contactPoint": {
"hasEmail": "mailto:[email protected]",
"fn": "Gary Howarth II"
},
"programCode": [
"006:045"
],
"landingPage": "https:\/\/github.com\/usnistgov\/SDNist",
"title": "SDNist v2: Deidentified Data Report Tool",
"description": "SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts, a geographically partitioned, limited feature data set.The deidentified data report evaluates utility and privacy of a given deidentified dataset and generates a summary quality report with performance of a deidentified dataset enumerated and illustrated for each utility and privacy metric.",
"language": [
"en"
],
"distribution": [
{
"accessURL": "https:\/\/github.com\/usnistgov\/SDNist\/",
"format": "Python repository",
"description": "A Python repository of data and software to evaluate data deidentification techniques.",
"title": "SDNist v2"
}
],
"bureauCode": [
"006:55"
],
"modified": "2023-03-13 00:00:00",
"publisher": {
"@type": "org:Organization",
"name": "National Institute of Standards and Technology"
},
"theme": [
"Information Technology:Privacy",
"Information Technology:Artificial Intelligence",
"Information Technology:Software research"
],
"keyword": [
"private information sharing",
"differential privacy",
"privacy",
"benchmarks",
"synthetic data"
]
}