Jul 10, 2014 · A private learner is an algorithm that given a sample of labeled individual examples outputs a generalizing hypothesis while preserving the privacy of each ...
Abstract. A private learner is an algorithm that given a sample of la- beled individual examples outputs a generalizing hypothesis.
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Aug 3, 2020 · A private learner is an algorithm that given a sample of labeled individual examples outputs a generalizing hypothesis while preserving the ...
A private learner is an algorithm that given a sample of labeled individual examples outputs a generalizing hypothesis while preserving the privacy of each ...
A private learner is an algorithm that given a sample of labeled individual examples outputs a generalizing hypothesis while preserving the privacy of each ...
Apr 9, 2022 · Amos Beimel , Kobbi Nissim, Uri Stemmer : Learning Privately with Labeled and Unlabeled Examples. Algorithmica 83(1): 177-215 (2021).
Oct 3, 2013 · Typically, unlabeled data consists of samples of natural or human-created artifacts that you can obtain relatively easily from the world.
Nov 25, 2015 · The basic idea of an autoencoder is to learn a hidden layer of features by creating a network that simply copies the input vector at the output.
Nov 13, 2019 · Labeled data is data that has been tagged or classified. For instance, a photo of a hawk would be labeled as a hawk for an image classification task.