Author

Akira Ito

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#machine learning Preprint Sep 2026

End-to-End Hard-Label Cryptanalytic Model Extraction Using Efficient Sign Recovery

This paper proposes a new sign-recovery algorithm that achieves higher sign-recovery accuracy than the existing method, and enables efficient sign recovery even for trained models, and demonstrates end-to-end model extraction from models trained on MNIST and Fashion-MNIST.

Akira Ito, Takayuki Miura, Yosuke Todo · 0 citations