{"title":"Harnessing the Known Unknowns: Differential Privacy and the 2020 Census","authors":"Ruobin Gong, E. Groshen, S. Vadhan","doi":"10.1162/99608f92.cb06b469","DOIUrl":null,"url":null,"abstract":"and relative accuracy population counts in total and by race for multiple geographic levels and compare commonly used measures of residential segregation. how the accuracy varies by the global privacy loss budget and by the allocation of the privacy loss budget to geographic levels and queries. The also that can indicate either notably or notably segregation in","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Harvard data science review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1162/99608f92.cb06b469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
and relative accuracy population counts in total and by race for multiple geographic levels and compare commonly used measures of residential segregation. how the accuracy varies by the global privacy loss budget and by the allocation of the privacy loss budget to geographic levels and queries. The also that can indicate either notably or notably segregation in
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
