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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分60

Google DeepMind 研究用多智能体攻击测试提示注入防护

AI 导读

Google DeepMind 研究人员构建了由 8 组 AI 智能体组成的攻击系统,让它们测试提示注入、交流结果并改进尝试。在 100 项工具使用任务中,攻击者的目标仅是诱发一次随机、无害的工具调用;最多尝试 320 次时,最强攻击者在 34% 的任务中攻破了文中称防护最强的 Gemini 4 Argon。

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@rohanpaul_ai

New Google DeepMind paper shows prompt injection is not solved, since a swarm of strong AI attacker agents still tricks even the best-defended models.

Prompt injection means hiding instructions in data an AI agent reads, like a tool result, to make it act for the attacker. Human red-teaming attacks now almost never work on recent Gemini models, so the problem can look solved.

They built Agentic Optimizer, 8 teams of AI agents that test injections, share notes, and build on each other's best attempts. They tested it on 100 tool-use tasks where the attacker only wanted one random, harmless tool call.

With up to 320 tries, the strongest attacker beat Gemini 4 Argon, the most robust model, on 34% of tasks. Open-weight Kimi K3, GLM-5.3, and DeepSeek-V4.1-Flash resisted only 1% of tasks.

来源:Rohan Paul · x.com

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