NIST · ИТ · 02968d7d00eaeb18e11b
Challenge Design and Lessons Learned from the 2018 Differential Privacy Challenges
The push for open data has made a multitude of datasets available enabling researchers to analyze publicly available information using various statistical and machine learning methods in support of policy development. An area of increasing interest that is
NIST · ИТОфициальный источник · 2021-04-12
{
"title_en": "Challenge Design and Lessons Learned from the 2018 Differential Privacy Challenges",
"designation": "",
"series": "",
"status": "",
"date": "2021-04-12",
"date_original": "April 12, 2021",
"url": "https://www.nist.gov/publications/challenge-design-and-lessons-learned-2018-differential-privacy-challenges",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Diane Ridgeway , Mary Theofanos , Terese Manley , Christine Task",
"abstract_excerpt_en": "The push for open data has made a multitude of datasets available enabling researchers to analyze publicly available information using various statistical and machine learning methods in support of policy development. An area of increasing interest that is",
"id": "02968d7d00eaeb18e11b",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Challenge Design and Lessons Learned from the 2018 Differential Privacy Challenges",
"designation": "",
"series": "",
"status": "",
"date": "2021-04-12",
"date_original": "April 12, 2021",
"url": "https://www.nist.gov/publications/challenge-design-and-lessons-learned-2018-differential-privacy-challenges",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Diane Ridgeway , Mary Theofanos , Terese Manley , Christine Task",
"abstract_excerpt_en": "The push for open data has made a multitude of datasets available enabling researchers to analyze publicly available information using various statistical and machine learning methods in support of policy development. An area of increasing interest that is"
}
],
"translation_state": "none"
}