跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
Evaluating the Risk of Disclosure and Utility in a Synthetic Dataset
Kang-Cheng Chen,
Chia-Mu Yu
*
, Tooska Dargahi
*
此作品的通信作者
資訊管理與財務金融學系
研究成果
:
Article
›
同行評審
總覽
指紋
指紋
深入研究「Evaluating the Risk of Disclosure and Utility in a Synthetic Dataset」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Data Dependency
100%
Synthetic Data
100%
Differentially Private
100%
Risk Disclosure
100%
Artificial Intelligence
50%
Information Technology
50%
Random Noise
50%
Customer Satisfaction
50%
Estimation Accuracy
50%
Curve Fitting Method
50%
Privacy-preserving
50%
Security Privacy
50%
Privacy Concerns
50%
Customized Service
50%
Financial Services
50%
Security Concerns
50%
Financial Technology
50%
Data Utility
50%
Intelligent Services
50%
Differential Privacy
50%
Private Data Release
50%
Data Disclosure
50%
Privacy Budget
50%
Fintech Companies
50%
Privacy-preserving Data Publishing
50%
Computer Science
Synthetic Datasets
100%
Estimation Accuracy
50%
Customer Satisfaction
50%
Privacy Preserving
50%
Fitting Curve
50%
Security Concern
50%
Privacy Concern
50%
Security and Privacy
50%
Privacy Preservation
50%
Differential Privacy
50%
Preserving Data Publishing
50%
Artificial Intelligence
50%
Information Technology
50%