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Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images
April 23, 2024, 4:11 a.m. | Ali Naseh, Katherine Thai, Mohit Iyyer, Amir Houmansadr
cs.CR updates on arXiv.org arxiv.org
Abstract: With the digital imagery landscape rapidly evolving, image stocks and AI-generated image marketplaces have become central to visual media. Traditional stock images now exist alongside innovative platforms that trade in prompts for AI-generated visuals, driven by sophisticated APIs like DALL-E 3 and Midjourney. This paper studies the possibility of employing multi-modal models with enhanced visual understanding to mimic the outputs of these platforms, introducing an original attack strategy. Our method leverages fine-tuned CLIP models, a …
apis arxiv cs.cl cs.cr cs.cv dall-e dall-e 3 digital generated image images llms media midjourney multimodal natural platforms prompts stock stocks trade
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