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发表于 2025-3-21 16:06:20 | 显示全部楼层 |阅读模式
书目名称Guide to Differential Privacy Modifications
编辑Balázs Pejó,Damien Desfontaines
视频video
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: ;
出版日期Book 2022
版次1
doihttps://doi.org/10.1007/978-3-030-96398-9
isbn_softcover978-3-030-96397-2
isbn_ebook978-3-030-96398-9Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
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发表于 2025-3-21 23:00:27 | 显示全部楼层
Distributed Load Sharing Under Cyber AttacksThis chapter gives a short history of data privacy notions preceding differential privacy – the central idea of this Brief – and highlights the extent to it has been adopted.
发表于 2025-3-22 02:13:34 | 显示全部楼层
Smart Generation: Resources and Potentials,This chapter recaps the original differential privacy definition and introduces the seven dimensions detailed in this Brief to show how it can be modified or extended.
发表于 2025-3-22 07:20:17 | 显示全部楼层
Bernd M. Buchholz,Zbigniew StyczynskiDifferential privacy gives a worst-case guarantee as it quantifies all possible neighboring datasets and overall possible outputs. It is natural to consider relaxations, especially since they often have better composition properties. This chapter of the Brief gives an overview of the corresponding notions
发表于 2025-3-22 10:42:50 | 显示全部楼层
发表于 2025-3-22 16:12:56 | 显示全部楼层
发表于 2025-3-22 19:31:39 | 显示全部楼层
Smart HRM: Wohin geht die Reise?,Differential privacy implicitly assumes that the attacker fully knows the dataset. This assumption can be seen as unrealistic, and it is natural to consider weaker adversaries. This chapter of the Brief gives an overview of the corresponding notions.
发表于 2025-3-22 21:28:43 | 显示全部楼层
,Digitale Tools für smarte Personalarbeit,Differential privacy uses indistinguishability to compare the distribution of outputs given two neighboring inputs. Other formalisms have been proposed, some of which model the attacker more explicitly. This chapter of the Brief provides an overview of the corresponding notions.
发表于 2025-3-23 05:05:31 | 显示全部楼层
Cyber-physical Systems for Healthcare,Differential privacy ensures that not more is revealed than a fixed amount of probabilistic information. Instead, one can explicitly take into account other ways data can leak. This chapter of the Brief gives an overview of the corresponding notions.
发表于 2025-3-23 07:42:14 | 显示全部楼层
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