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A Framework for Formalizing LLM Agent Security

AI Agent Security arxiv arXiv:2603.19469 PDF โ†—
formalizingsecuritysecurityaactionobjectiveexampleinherentlytaken
Security in LLM agents is inherently contextual. For example, the same action taken by an agent may represent legitimate behavior or a security violation depending on whose instruction led to the action, what objective is being pursued, and whether the action serves that objective. However, existing definitions of security attacks against LLM agent
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ํŒ๋‹จ: ์–ด๋–ค ๋ฌธ์ œ๋ฅผ ํ’€๊ณ  / ํ•ต์‹ฌ ์•„์ด๋””์–ด / ๋‚ด ์ž‘์—…๊ณผ ๊ด€๋ จ ์žˆ๋‚˜?
~1์‹œ๊ฐ„. ๊ทธ๋ฆผยทํ‘œ๋ฅผ ๊ผผ๊ผผํžˆ. ์ฆ๋ช…ยท์ˆ˜์‹ ๋””ํ…Œ์ผ์€ ๊ฑด๋„ˆ๋œ€.
์‚ฐ์ถœ๋ฌผ: "์ด๋“ค์ด ๋ญ˜ ํ–ˆ๊ณ  ์™œ ๊ทธ๊ฒŒ ํ†ตํ•˜๋Š”๊ฐ€" ํ•œ ๋ฌธ๋‹จ.
์žฌํ˜„ํ•˜๋“ฏ ์ฝ๊ธฐ. ๊ฐ€์ •์„ ์˜์‹ฌ. ์ง์ ‘ ์ธ์šฉ/๋ฐ˜๋ฐ•ํ•  ๋…ผ๋ฌธ๋งŒ.
๋ Œ์ฆˆ: "๋‚ด ํ”Œ๋ฆฟ์—์„œ ์ธก์ •ํ•˜๋ฉด ์ €์ž๊ฐ€ ๋ชป ํ•œ ๋ฌด์—‡์„ ๋ณด์—ฌ์ค„ ์ˆ˜ ์žˆ๋‚˜?"
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