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Qwen3-VL-Embedding

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Manipulation of Vision-Language Models via Imperceptible Image Perturbations

Cisco researchers discovered that attackers can manipulate vision-language models (VLMs) by using pixel-level perturbations in images to embed malicious instructions, which are unreadable by humans but interpreted by AI, leading to potential data exfiltration or other unauthorized actions.

GPT-4o +5 ai vlm perturbation defense-evasion ai-security
2r 1t