all AI news
A Training-Free Plug-and-Play Watermark Framework for Stable Diffusion
April 9, 2024, 4:47 a.m. | Guokai Zhang, Lanjun Wang, Yuting Su, An-An Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: Nowadays, the family of Stable Diffusion (SD) models has gained prominence for its high quality outputs and scalability. This has also raised security concerns on social media, as malicious users can create and disseminate harmful content. Existing approaches involve training components or entire SDs to embed a watermark in generated images for traceability and responsibility attribution. However, in the era of AI-generated content (AIGC), the rapid iteration of SDs renders retraining with watermark models costly. …
abstract arxiv components concerns cs.cv diffusion embed family framework free media quality scalability security security concerns social social media stable diffusion training type watermark
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
C003549 Data Analyst (NS) - MON 13 May
@ EMW, Inc. | Braine-l'Alleud, Wallonia, Belgium
Marketing Decision Scientist
@ Meta | Menlo Park, CA | New York City