Towards Reverse-Engineering Black-Box Neural Networks
(ICLR) (Code) Infer inner hyperparameters (eg number of layers, non-linear activation type) of a remote neural network model by analysing its response patterns to certain inputs.
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Data driven exploratory attacks on black box classifiers in adversarial domains sciencedirect.com
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Knockoff Nets: Stealing Functionality of Black-Box Models arxiv.org
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Learn to explain efficiently via neural logic inductive learning openreview.net
ICLR'20, 2020. [All Versions]. [Project].
Audit Algorithms › Papers > 2018: “(ICLR) (Code) Infer inner hyperparameters (eg number of layers, non-linear activation type) of a remote neural network model by analysing its response patterns to certain inputs.”