{"title":"考虑政策差异化隐私时应考虑的因素","authors":"Priyanka Nanayakkara, Jessica Hullman","doi":"arxiv-2409.11680","DOIUrl":null,"url":null,"abstract":"Differential privacy (DP) is a mathematical definition of privacy that can be\nwidely applied when publishing data. DP has been recognized as a potential\nmeans of adhering to various privacy-related legal requirements. However, it\ncan be difficult to reason about whether DP may be appropriate for a given\ncontext due to tensions that arise when it is brought from theory into\npractice. To aid policymaking around privacy concerns, we identify three\ncategories of challenges to understanding DP along with associated questions\nthat policymakers can ask about the potential deployment context to anticipate\nits impacts.","PeriodicalId":501332,"journal":{"name":"arXiv - CS - Cryptography and Security","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What to Consider When Considering Differential Privacy for Policy\",\"authors\":\"Priyanka Nanayakkara, Jessica Hullman\",\"doi\":\"arxiv-2409.11680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Differential privacy (DP) is a mathematical definition of privacy that can be\\nwidely applied when publishing data. DP has been recognized as a potential\\nmeans of adhering to various privacy-related legal requirements. However, it\\ncan be difficult to reason about whether DP may be appropriate for a given\\ncontext due to tensions that arise when it is brought from theory into\\npractice. To aid policymaking around privacy concerns, we identify three\\ncategories of challenges to understanding DP along with associated questions\\nthat policymakers can ask about the potential deployment context to anticipate\\nits impacts.\",\"PeriodicalId\":501332,\"journal\":{\"name\":\"arXiv - CS - Cryptography and Security\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Cryptography and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.11680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Cryptography and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
What to Consider When Considering Differential Privacy for Policy
Differential privacy (DP) is a mathematical definition of privacy that can be
widely applied when publishing data. DP has been recognized as a potential
means of adhering to various privacy-related legal requirements. However, it
can be difficult to reason about whether DP may be appropriate for a given
context due to tensions that arise when it is brought from theory into
practice. To aid policymaking around privacy concerns, we identify three
categories of challenges to understanding DP along with associated questions
that policymakers can ask about the potential deployment context to anticipate
its impacts.
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