SMInject: Specious Malignant Injection Attacks With Semantically-Enhanced Tokens in Cross-Modal Retrieval

Researchers developed SMInject, a new type of attack that tricks multimodal AI models (systems that process both text and images together) by injecting deceptive instructions that exploit how different data types relate to each other. The attack is designed to be harder to detect than previous methods and achieves higher success rates while still keeping the model appearing to work normally.