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Sample Complexity Bounds for Differentially Private Learning.
COLT, (2011): 155-186
This work studies the problem of privacy-preserving classification - namely, learning a classifier from sensitive data while preserving the privacy of individuals in the training set. In particular, the learning algorithm is required in this problem to guarantee differential privacy, a very strong notion of privacy that has gained signifi...More
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