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Functional Mechanism is a differentially private method designed for a large class of optimization-based analyses. The main idea is to enforce epsilon-differential privacy by perturbing the objective function of the optimization problem, rather than its results.
Please cite the following paper if you choose to use this code:
J. Zhang, Z. Zhang, X. Xiao, Y. Yang, and M. Winslett. Functional Mechanism: Regression Analysis under Differential Privacy. PVLDB 5(11):1364-1375, 2012.
Features
- Differential Privacy
- Regressions
- Objective Perturbation
Categories
Information AnalysisFollow Functional Mechanism
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