Differentially Private Empirical Risk Minimization with Input Perturbation

20 Oct 2017Kazuto FukuchiQuang Khai TranJun Sakuma

We propose a novel framework for the differentially private ERM, input perturbation. Existing differentially private ERM implicitly assumed that the data contributors submit their private data to a database expecting that the database invokes a differentially private mechanism for publication of the learned model... (read more)

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