Friendship links-based privacy-preserving algorithm against inference attacks
Directly publishing the original data of social networks may compromise personal privacy because social relationship data contain sensitive information about users. To protect the social relationships against inference attacks and achieve the trade-off between privacy and utility, we propose a priva...
Saved in:
| Main Authors: | Jiawei Shen, Junfeng Tian, Ziyuan Wang, Hongyun Cai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-11-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157822003433 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A survey on membership inference attacks and defenses in machine learning
by: Jun Niu, et al.
Published: (2024-09-01) -
Empirical study of privacy inference attack against deep reinforcement learning models
by: Huaicheng Zhou, et al.
Published: (2023-12-01) -
A Survey on Privacy-Preserving Machine Learning Inference
by: Stanisław Barański
Published: (2025-07-01) -
BloomDT - An improved privacy-preserving decision tree inference scheme
by: Sean Lalla, et al.
Published: (2024-03-01) -
Privacy attack in federated learning is not easy: an experimental study
by: Hangyu Zhu, et al.
Published: (2025-07-01)