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paper reviewed open access llmsec-2024-00050
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu
2024 — ICLR 2024 160 citations
Abstract
Demonstrates that LLMs can be jailbroken using cipher-based encoding, bypassing safety training designed for natural language.
Framework Mappings
OWASP LLM: LLM01 MITRE ATLAS: AML.T0054
Cite This Resource
@article{llmsec202400050,
title = {GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher},
author = {Youliang Yuan and Wenxiang Jiao and Wenxuan Wang and Jen-tse Huang and Pinjia He and Shuming Shi and Zhaopeng Tu},
year = {2024},
journal = {ICLR 2024},
url = {https://arxiv.org/abs/2308.06463},
} Metadata
- Added
- 2026-04-14
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- manual
- Source
- manual
- arxiv_id
- 2308.06463