Author

Yi Chen

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Preprint Sep 2026

Extracting CNNs in the Unknown-Architecture and Feedback-Agnostic Setting

This paper studies the cryptanalytic extraction of convolutional neural networks (CNNs). Existing cryptanalytic extraction attacks on CNNs assume that the network architecture is known, and try to recover model parameters.In this paper, we prove for the first time that the architecture assumption can be removed for CNN...

Jia-Shuo Liu, Rui-Jie Ma, Man-Man Li et al. · 0 citations

Preprint Sep 2026

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 paper, we explore whe...

Yan Shen, Yi Chen, An-Yu Wang et al. · 1 citation