all AI news
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
April 23, 2024, 4:43 a.m. | Vitali Petsiuk, Kate Saenko
cs.LG updates on arXiv.org arxiv.org
Abstract: Motivated by ethical and legal concerns, the scientific community is actively developing methods to limit the misuse of Text-to-Image diffusion models for reproducing copyrighted, violent, explicit, or personal information in the generated images. Simultaneously, researchers put these newly developed safety measures to the test by assuming the role of an adversary to find vulnerabilities and backdoors in them. We use compositional property of diffusion models, which allows to leverage multiple prompts in a single image …
abstract arxiv community concept concerns cs.ai cs.cv cs.lg diffusion diffusion models ethical generated image image diffusion images information legal misuse personal information researchers safety safety measures scientific test text text-to-image type
More from arxiv.org / cs.LG updates on arXiv.org
The Perception-Robustness Tradeoff in Deterministic Image Restoration
1 day, 20 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
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