研究人員開發了新 LLM 越獄方法，成功率高達 65%
近日，網絡安全公司 Palo Alto Networks 的 Unit42研究團隊發佈了一項令人矚目的研究，揭露了一種名爲 “Deceptive Delight”的新型越獄方法。這個方法能夠在僅僅兩到三次交互中，就成功誘導大型語言模型（LLM）生成有害內容，其成功率高達65%。這一發現爲保護 LLM 的安全性敲響了警鐘。圖源備註：圖片由AI生成，圖片授權服務商Midjourney研究團隊在測試中分析了多達8000個案例，並評估了八種不同的語言模型。在這個越獄技術的第一步，攻擊者首先會要求 LLM 生成一個敘述，這個敘述包含兩個無害
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