arXiv CS
open access
False Claims, Credible Images: A Red-Teaming Benchmark for Commercial Image Generators
Image-generation models can now produce text-rich, natural-looking visual artifacts that are hard to distinguish from real-world evidence, such as news reports and textbook pages. Yet, the same capability introduces a new risk: these models can just as easily fabricate visual misinformation. Even co
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- False Claims, Credible Images: A Red-Teaming Benchmark for Commercial Image Generators#1248039
- ASAP: Visual Analytics for Identifying and Analyzing Image Patterns in AI-generated Images#1063582
- NewsRECON: News Article Retrieval for Image Contextualization#821421
- Identity-Driven Multimedia Forgery Detection via Reference Assistance#793372
- Identity-Driven Multimedia Forgery Detection via Reference Assistance#789368
Record · ID 1242710
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive