A framework learns domain-invariant features from probability outputs to reveal attributes of black-box models whose training data is unknown.
Deep unsupervised active learning via matrix sketching,
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DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
A framework learns domain-invariant features from probability outputs to reveal attributes of black-box models whose training data is unknown.