Sign inGet started
Paper · arXiv

Are You Reading the Right Thing? Rethinking Internal Signals for Prompt-Injection Detection

Several recent studies propose detecting prompt injections from a language model's internal state. However, these methods do not measure a single security property. Residual-stream probes, attention scores, role projections, exposure probes, and concept readouts may capture injection presence, recognition, information routing, or behavioral influence. It is therefore unclear what differences in prompt-injection detection performance reveal about the internal signals these methods read. We study how five representation-reading methods vary under a common structured indirect prompt-injection setup on Qwen3.6-35B-A3B and Gemma-4-26B-A4B-it. We evaluate each method by how well it distinguishe...

AuthorsSarthak Gupta, Priyanka Tembey
Primary categorycs.AI
Published14 October 2026
Last updated at source14 October 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/ce0a770c-99ab-41c9-b88f-8ba4b5358bf8" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.