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Offensive AI Security› Multimodal Injection›The Cross-Modal Threat Model: Where Non-Text Inputs Become Trusted Context

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Multimodal Injection

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1The Cross-Modal Threat Model: Where Non-Text Inputs Become Trusted ContextResearch
2Instructions Hidden in Images: Perturbation and Steganographic Injection Robust to ResizingResearch
3Audio and Transcription Attacks: Adversarial Speech and the ASR-to-Prompt BoundaryResearch
4Document and OCR Channels: Invisible Text, Layout Tricks, and Metadata as Injection SurfacesResearch
5Provenance and Sanitization for Non-Text: Trust-Tagging Perception and Modality IsolationResearch

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The Cross-Modal Threat Model: Where Non-Text Inputs Become Trusted Context