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News/LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge
arxiv
PublishedOctober 13, 2026 at 4:00 AM

LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

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arXiv:2506.09956v2 Announce Type: replace-cross Abstract: Indirect prompt injection attacks exploit a fundamental weakness of LLMs: executing unauthorized tasks from untrusted sources. Despite the practical significance of this attack vector, existing benchmarks rely on small sets of template-based

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