Verification of De-Identification Techniques for Personal Information Using Tree-Based Methods with Shapley Values
With the development of big data and cloud computing technologies, the importance of pseudonym information has grown. However, the tools for verifying whether the de-identification methodology is correctly applied to ensure data confidentiality and usability are insufficient. This paper proposes a v...
Main Authors: | Junhak Lee, Jinwoo Jeong, Sungji Jung, Jihoon Moon, Seungmin Rho |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Journal of Personalized Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4426/12/2/190 |
Similar Items
-
Fast Explanation Using Shapley Value for Object Detection
by: Michihiro Kuroki, et al.
Published: (2024-01-01) -
Shapley value: from cooperative game to explainable artificial intelligence
by: Meng Li, et al.
Published: (2024-02-01) -
Privacy and Explainability: The Effects of Data Protection on Shapley Values
by: Aso Bozorgpanah, et al.
Published: (2022-12-01) -
Explaining Multiclass Compound Activity Predictions Using Counterfactuals and Shapley Values
by: Alec Lamens, et al.
Published: (2023-07-01) -
Bearing Fault Detection and Recognition From Supply Currents With Decision Trees
by: Giovanni Briglia, et al.
Published: (2024-01-01)