[R] Brown University Paper: Low-Resource Languages (Zulu, Scots Gaelic, Hmong, Guarani) Can Easily Jailbreak LLMs

Researchers from Brown University presented a new study supporting that translating unsafe prompts into \`low-resource languages\` allows them to easily bypass safety measures in LLMs.

By converting English inputs like "how to steal without getting caught" into Zulu and feeding to GPT-4, harmful responses slipped through 80% of the time. English prompts were blocked over 99% of the time, for comparison.

The study benchmarked attacks across 12 diverse languages and categories:

* High-resource: English, Chinese, Arabic, Hindi
* Mid-resource: Ukrainian, …

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