Protecting Regression Models With Personalized Local Differential Privacy
Author:
Affiliation:
1. State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi'an, China
2. Department of Computer and Information Technology, Purdue University, West Lafayette, USA
Funder
National Natural Science Foundation of China
Shaanxi Innovation Team Project
Higher Education Discipline Innovation Project
Purdue University
China Scholarship Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8858/10068314/09693253.pdf?arnumber=9693253
Reference39 articles.
1. Differentially Private Naive Bayes Classification
2. Deep Learning with Differential Privacy
3. A genetic algorithm tutorial
4. Regression Analysis With Differential Privacy Preserving
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