April 23, 2024, 4:11 a.m. | Ali Naseh, Katherine Thai, Mohit Iyyer, Amir Houmansadr

cs.CR updates on arXiv.org arxiv.org

arXiv:2404.13784v1 Announce Type: new
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

Information Security Engineers

@ D. E. Shaw Research | New York City

Technology Security Analyst

@ Halton Region | Oakville, Ontario, Canada

Senior Cyber Security Analyst

@ Valley Water | San Jose, CA

COMM Penetration Tester (PenTest-2), Chantilly, VA OS&CI Job #368

@ Allen Integrated Solutions | Chantilly, Virginia, United States

Consultant Sécurité SI H/F Gouvernance - Risques - Conformité

@ Hifield | Sèvres, France

Infrastructure Consultant

@ Telefonica Tech | Belfast, United Kingdom