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Cryptanalytic Extraction of Neural Networks Without Known Architecture Assumption
Cryptanalytic model extraction aims to reconstruct a functionally equivalent model through black-box interactions with the victim model. Under the fundamental assumption that the network architecture is completely known, existing attacks achieve the goal by recovering the model parameters. In this p
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