Functional Mechanism: Regression Analysis under Differential Privacy

Understand

\epsilon-differential privacy is the state-of-the-art model for releasing sensitive information while protecting privacy.

• Numerous methods have been proposed to enforce epsilon-differential privacy in various analytical tasks, e.g., regression analysis.
• Existing solutions for regression analysis, however, are either limited to non-standard types of regression or unable to produce accurate regression results.
• Motivated by this, we propose the Functional Mechanism, a differentially private method designed for a large class of optimization-based analyses.