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On Task, Off Track: Benchmarking LLM and Agent Robustness to Near-Target Prompt Injection

Gong, Yuyang et al.
arXiv (All) · Papers
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cryptography-and-security
Prompt injection benchmarks assess whether large language models (LLMs) and agents resist malicious instructions embedded in external content. However, a system could perform well by rejecting attacks that obviously abandon the user's request, while still accepting changes that retain most of a legi
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