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LongPIBench: A Long-Context Benchmark for Prompt Injection

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

Prompt injection attacks pose a serious security risk to large language models in real-world applications. However, existing prompt injection benchmarks primarily focus on short-context inputs, leaving the attacks and defenses in long-context settings largely unexplored. This gap leads to a substantial overestimation of the effectiveness of current defenses. In this paper, we bridge the gap by introducing LongPIBench, a long-context benchmark for prompt injection covering 4 realistic application scenarios: paper peer review, resume screening, code review, and email summary. For each scenario,

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Evidence & attribution

First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.