Private Learning and Sanitization: Pure vs. Approximate Differential Privacy

10 Jul 2014 Amos Beimel Kobbi Nissim Uri Stemmer

We compare the sample complexity of private learning [Kasiviswanathan et al. 2008] and sanitization~[Blum et al. 2008] under pure $\epsilon$-differential privacy [Dwork et al. TCC 2006] and approximate $(\epsilon,\delta)$-differential privacy [Dwork et al. Eurocrypt 2006]. We show that the sample complexity of these tasks under approximate differential privacy can be significantly lower than that under pure differential privacy... (read more)

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