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Attention-Augmented LSTMs for Automatic Homophonic Ciphertext Decipherment
Micaella Bruton, Meriem Beloucif, Beáta Megyesi, 2026. arXiv.
A 2026 preprint applying LSTM networks with an attention mechanism to the automatic decipherment of homophonic ciphers.
What it's used for here
The linguistics and datasets survey notes that it uses ChronoFidelius, a generator of period-style homophonic ciphertexts, which could supply cipher controls.
Cited by on this site 2 records
2 methods surveys
SRCCryptanalysis, linguistics
Cite it
Bruton, M., Beloucif, M., & Megyesi, B. (2026). Attention-Augmented LSTMs for Automatic Homophonic Ciphertext Decipherment. arXiv. https://arxiv.org/abs/2606.05078
@article{bruton2026attention,
author = {Bruton, Micaella and Beloucif, Meriem and Megyesi, Beáta},
title = {Attention-Augmented LSTMs for Automatic Homophonic Ciphertext Decipherment},
journal = {arXiv},
year = {2026},
url = {https://arxiv.org/abs/2606.05078}
}TY - GEN TI - Attention-Augmented LSTMs for Automatic Homophonic Ciphertext Decipherment AU - Bruton, Micaella AU - Beloucif, Meriem AU - Megyesi, Beáta PY - 2026 JO - arXiv UR - https://arxiv.org/abs/2606.05078 ER -
Bruton, Micaella et al.. “Attention-Augmented LSTMs for Automatic Homophonic Ciphertext Decipherment.” arXiv (2026).