June 9, 2023, 1:10 a.m. | Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang

cs.CR updates on arXiv.org arxiv.org

Recently, Generative Diffusion Models (GDMs) have showcased their remarkable
capabilities in learning and generating images. A large community of GDMs has
naturally emerged, further promoting the diversified applications of GDMs in
various fields. However, this unrestricted proliferation has raised serious
concerns about copyright protection. For example, artists including painters
and photographers are becoming increasingly concerned that GDMs could
effortlessly replicate their unique creative works without authorization. In
response to these challenges, we introduce a novel watermarking scheme,
DiffusionShield, tailored for …

applications capabilities community copyright diffusion models generative images large proliferation protection serious

Azure DevSecOps Cloud Engineer II

@ Prudent Technology | McLean, VA, USA

Security Engineer III - Python, AWS

@ JPMorgan Chase & Co. | Bengaluru, Karnataka, India

SOC Analyst (Threat Hunter)

@ NCS | Singapore, Singapore

Managed Services Information Security Manager

@ NTT DATA | Sydney, Australia

Senior Security Engineer (Remote)

@ Mattermost | United Kingdom

Penetration Tester (Part Time & Remote)

@ TestPros | United States - Remote