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paper reviewed open access llmsec-2024-00013
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated LLM Agents
Qiusi Zhan, Zhixiang Liang, Zifan Ying, Daniel Kang
2024-03 — ACL 2024 Findings 65 citations
Abstract
Presents InjecAgent, a benchmark for evaluating indirect prompt injection attacks against LLM agents that use tools, showing most agents are highly vulnerable.
Framework Mappings
OWASP LLM: LLM01 OWASP LLM: LLM06 OWASP Agentic: AGT02 OWASP Agentic: AGT03
Cite This Resource
@article{llmsec202400013,
title = {InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated LLM Agents},
author = {Qiusi Zhan and Zhixiang Liang and Zifan Ying and Daniel Kang},
year = {2024},
journal = {ACL 2024 Findings},
url = {https://arxiv.org/abs/2403.02691},
} Metadata
- Added
- 2026-04-14
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- manual
- Source
- manual
- arxiv_id
- 2403.02691