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most citedImage-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions

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cs.CR2025

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt

Zhilong Wang, Neha Nagaraja, Lan Zhang +3

LLM agents are widely used as agents for customer support, content generation, and code assistance. However, they are vulnerable to prompt injection attacks, where adversarial inpu…