MetaCipher uses reinforcement learning to pick among 21 ciphers that mask malicious keywords, achieving high jailbreak success on several LLMs within 10 queries.
In Ku, L.-W.; Martins, A.; and Srikumar, V ., eds., Proceedings of the 62nd Annual Meeting of the As- sociation for Computational Linguistics (Volume 1: Long Papers), 14322–14350
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MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
MetaCipher uses reinforcement learning to pick among 21 ciphers that mask malicious keywords, achieving high jailbreak success on several LLMs within 10 queries.