Glossary · Term

Vis-Poison

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Definition

Plain language

An attack that plants one subtly edited real photo so an AI search system gives the wrong answer.

As stated in the literature

A black-box, text-free multimodal RAG poisoning framework using a planner-editor-verifier loop to apply a minimal, query-relevant edit to a genuine image, preserving retrieval embedding proximity while flipping the answer.

Also called: VisPoison

Why it matters: Because the attack carries no text and barely changes the image, it defeats both content filters and the usual forgery detectors at once.

For example, a real photo of a landmark is altered in one small spot so a search system still retrieves it normally but the model reads the wrong detail off it.

Heard on the show

“The paper is called Vis-Poison, out of a team led by Rujin Liang, and the threat model is about as stripped-down as these things get.”
Episode 247 — One Edited Photo, an Honest Caption, and a RAG System That Believes It

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