Decision Making with Differential Privacy under a Fairness Lens

Decision Making with Differential Privacy under a Fairness Lens
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公平视角下的差异隐私决策

DOI:
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发表时间:
2021
期刊:
International Joint Conference on Artificial Intelligence
影响因子:
--
通讯作者:
P. V. Hentenryck
P. V. Hentenryck
中科院分区:
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文献类型:
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作者:
Ferdinando Fioretto;Cuong Tran;P. V. Hentenryck

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许多机构发布关于个人群体的数据集和统计数据,这些数据集和统计数据被用作许多关键决策过程的输入。为了符合隐私和保密要求,这些机构通常需要发布数据的隐私保护版本。本文研究了差异私有数据集的发布,并从公平的角度分析了它们对一些关键资源分配任务的影响。该论文表明,当决策以差异隐私数据作为输入时,为实现隐私而添加的噪声会不成比例地影响某些群体。本文分析了这些不成比例的影响的原因,并提出了减轻这些影响的指导方针。所提出的方法进行评估的关键决策问题,使用不同的私人人口普查数据。
Many agencies release datasets and statistics about groups of individuals that are used as input to a number of critical decision processes. To conform with privacy and confidentiality requirements, these agencies are often required to release privacy-preserving versions of the data. This paper studies the release of differentially private datasets and analyzes their impact on some critical resource allocation tasks under a fairness perspective. The paper shows that, when the decisions take as input differentially private data, the noise added to achieve privacy disproportionately impacts some groups over others. The paper analyzes the reasons for these disproportionate impacts and proposes guidelines to mitigate these effects. The proposed approaches are evaluated on critical decision problems that use differentially private census data.
DOI: 10.1609/aaai.v35i11.17193
发表时间: 2020-09
期刊: ArXiv
影响因子: --
作者:
Cuong Tran;Ferdinando Fioretto;Pascal Van Hentenryck
通讯作者: Cuong Tran;Ferdinando Fioretto;Pascal Van Hentenryck
所有人的隐私:确保公平公正的隐私保护
DOI: --
发表时间: 2018
期刊: Accountability and Transparency
影响因子: --
作者:
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DOI: --
发表时间: 2022
期刊: Proceedings of the AAAI Conference on Artificial Intelligence
影响因子: --
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通讯作者: Keyu Zhu, Pascal Van
DOI: 10.1257/aer.20170627
发表时间: 2019-01-01
影响因子: 10.7
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