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ProjLens Reveals Backdoor Attack Mechanisms in the Projection Layers of Multimodal Large Models

Multimodal Large Language Models (MLLMs) have achieved remarkable success in cross-modal understanding and generation, but their deployment faces severe threats from security vulnerabilities. ProjLens is an interpretability framework designed to reveal backdoor attack mechanisms in MLLMs. The study found that even normal downstream task alignment involving only fine-tuning of projection layers can introduce backdoor injection vulnerabilities, and their activation mechanisms differ from those observed in text-only LLMs.

多模态大语言模型后门攻击模型安全可解释性投影层低秩子空间语义偏移MLLM安全
Published 2026-04-21 12:52Recent activity 2026-04-22 09:47Estimated read 2 min
ProjLens Reveals Backdoor Attack Mechanisms in the Projection Layers of Multimodal Large Models
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Section 01

导读 / 主楼:ProjLens Reveals Backdoor Attack Mechanisms in the Projection Layers of Multimodal Large Models

Introduction / Main Floor: ProjLens Reveals Backdoor Attack Mechanisms in the Projection Layers of Multimodal Large Models

Multimodal Large Language Models (MLLMs) have achieved remarkable success in cross-modal understanding and generation, but their deployment faces severe threats from security vulnerabilities. ProjLens is an interpretability framework designed to reveal backdoor attack mechanisms in MLLMs. The study found that even normal downstream task alignment involving only fine-tuning of projection layers can introduce backdoor injection vulnerabilities, and their activation mechanisms differ from those observed in text-only LLMs.