Papers by Zifan Ying

1 papers
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents (2024.findings-acl)

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Challenge: Recent work has embodied LLMs as agents, but external content introduces the risk of indirect prompt injection (IPI) attacks.
Approach: They propose a benchmark to assess the vulnerability of tool-integrated LLM agents to IPI attacks.
Outcome: The proposed benchmark assesses the vulnerability of tool-integrated LLM agents to IPI attacks.

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