Survey of split learning data privacy
With the rapid development of machine learning, artificial intelligence technology has been widely applied across various domains of life. However, concerns regarding the privacy risks associated with machine learning have increased. In response to these concerns, the Personal Information Protection...
Saved in:
Main Authors: | QIN Yiqun, MA Xiaojing, FU Jiayun, HU Pingyi, XU Peng, JIN Hai |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2024-06-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024037 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Balancing Privacy and Utility in Split Learning: An Adversarial Channel Pruning-Based Approach
by: Afnan Alhindi, et al.
Published: (2025-01-01) -
Model split-based data privacy protection method for federated learning
by: CHEN Ka
Published: (2024-09-01) -
Survey of artificial intelligence data security and privacy protection
by: Kui REN, et al.
Published: (2021-02-01) -
A survey on key technologies of privacy protection for machine learning
by: Zishan LIU, et al.
Published: (2020-11-01) -
Survey on differential privacy and its progress
by: Zhi-qiang GAO, et al.
Published: (2017-10-01)