Author

Ding-Xuan Zhou

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Preprint Aug 2026

Beyond Explicit Generators: Distribution-Free Linear-Decomposition Attacks on Public-Key Encryption

Linear-decomposition attacks can break public-key schemes without recovering the secret algebraic action: when a target public state lies in a known linear span, its decomposition coefficients transfer through the unknown action to reveal the shared value. We study a setting in which the adversary uses only the public...

Zi-Yan Chen, Ding-Xuan Zhou · 0 citations

#machine learning Preprint Aug 2026

Linear RNN Scaling Laws: When Longer Sequences Beat More Sequences

Empirical scaling laws for autoregressive language models relate prediction loss to model size, data size, and optimization compute, but their theoretical origin is still poorly understood in sequential pretraining settings. We study this question in a tractable teacher--student model where a stable latent linear RNN g...

Zi-Yan Chen, Zhong-Zhu Zhou, Pei-Lin Liu et al. · 0 citations