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A consensus privacy metrics framework for synthetic data

delete2025-07-29
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OA
AI
L
Lisa Pilgram *
F
Fida K. Dankar
J
Jörg Drechsler
M
Mark Elliot
J
Josep Domingo‐Ferrer
P
Paul Francis
M
Murat Kantarcıoğlu
L
Linglong Kong
B
Bradley Malin
K
Krishnamurty Muralidhar
P
Puja Myles
F
Fabian Praßer
J
Jean Louis Raisaro
C
Chao Yan
K
Khaled El Emam *
DOI：10.1016/j.patter.2025.101320delete
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摘要

摘要

En 中文
• 合成数据的隐私指标应明确其假设 • 成员披露和属性披露应在合成数据中进行评估 • 记录级相似性不是身份披露的有效替代指标 • 需要设定阈值以指导决策，这应是未来工作的重点
Keyword:
synthetic data
privacy
generative artificial intelligence
membership disclosure
attribute disclosure
identity disclosure
data sharing
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Max Planck Institute for Software Systems 封面图
Max Planck Institute for Software Systems
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university hospital lausanne
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medicines and healthcare products regulatory agency
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Institute for Employment Research
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