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Can Sequence-to-Sequence Models Crack Substitution Ciphers?

Annual Meeting of the Association for Computational Linguistics (ACL), 2020

30 December 2020

Nada Aldarrab

Jonathan May

ArXiv (abs)PDF HTML

Papers citing "Can Sequence-to-Sequence Models Crack Substitution Ciphers?"

7 / 7 papers shown

ALICE: An Interpretable Neural Architecture for Generalization in Substitution Ciphers

Jeff Shen

Lindsay Smith

AI4CE

225

08 Sep 2025

Can Transformers Break Encryption Schemes via In-Context Learning?

13 Aug 2025

ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers

531

28 Apr 2025

Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors

232

02 Feb 2024

SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secretsIACR Cryptology ePrint Archive (IACR ePrint), 2023

266

20 Jun 2023

Lexinvariant Language ModelsNeural Information Processing Systems (NeurIPS), 2023

254

24 May 2023

SALSA: Attacking Lattice Cryptography with TransformersIACR Cryptology ePrint Archive (IACR ePrint), 2022

292

11 Jul 2022