LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy

Keyphrases

• Crowdsourced Data 100%
• Local Differential Privacy 100%
• Data Publication 100%
• Estimation Scheme 50%
• Distribution Estimation 50%
• Data Utility 50%
• Estimation Method 25%
• Learning Process 25%
• Expectation-maximization Algorithm 25%
• Computational Efficiency 25%
• High-dimensional Data 25%
• Multivariate Distribution 25%
• Joint Distribution 25%
• Multiple Attributes 25%
• Communication Overhead 25%
• Privacy Concerns 25%
• Distribution Learning 25%
• Lasso Regression 25%
• Differential Privacy 25%
• Privacy Notions 25%
• Distribution Estimation Algorithm 25%
• Differentially Private 25%
• Computational Data 25%
• Random Forest Classification 25%

Computer Science

• Differential Privacy 100%
• Estimation Scheme 40%
• Computational Efficiency 20%
• Learning Process 20%
• Support Vector Machine 20%
• Collected Data 20%
• High Dimensional Data 20%
• Estimation Algorithm 20%
• Multiple Attribute 20%
• Communication Overhead 20%
• Joint Distribution 20%
• Privacy Threat 20%
• Random Decision Forest 20%