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Identify, Classify, Act: Per-Instruction Controlled Compliance for LLMs over External Data
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers proposed a per-instruction defense mechanism for LLMs processing external data to mitigate indirect prompt injection attacks.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 19 October 2026
- Collected by OneBench
- 20 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.22874v1 Announce Type: new Abstract: LLMs over external data face a per-instruction tension: a single document or tool return often interleaves legitimate directives with adversarial…
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