AI RESEARCH
Cross-Lingual Jailbreak Detection via Semantic Codebooks
arXiv CS.CL
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ArXi:2604.25716v1 Announce Type: new Safety mechanisms for large language models (LLMs) remain predominantly English-centric, creating systematic vulnerabilities in multilingual deployment. Prior work shows that translating malicious prompts into other languages can substantially increase jailbreak success rates, exposing a structural cross-lingual security gap. We investigate whether such attacks can be mitigated through language-agnostic semantic similarity without re