AGD steers the final denoising steps of Stable Diffusion with CLIP-based target gradients and momentum, producing targeted MLLM attacks with high image fidelity and better survival under defenses.
On the robustness of large multimodal models against image adversarial attacks
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Adversarial-Guided Diffusion for Multimodal LLM Attacks
AGD steers the final denoising steps of Stable Diffusion with CLIP-based target gradients and momentum, producing targeted MLLM attacks with high image fidelity and better survival under defenses.