arXiv (All)
open access
Media Intelligence Platform: Multimodal Detection of Synthetic and Manipulated Content
The rapid progress of generative artificial intelligence has led to a significant increase in manipulated multimedia content, including synthetic faces, forged videos, AI-generated images, fake audio, and locally edited images. Existing detection approaches are typically designed for a single manipu
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
- Rethinking Multimodal Fake News Detection in the Generative AI Era#1132051
- Toward Generalized Detection of Synthetic Media: Limitations, Challenges, and the Path to Multimodal Solutions#1411734
- DailyBench: A Unified Benchmark for AI-Generated and Manipulated Images from Modern Generative Models#821962
- A parameter-efficient three-branch architecture for multimodal misinformation detection with limited annotations#1083009
- ASAP: Visual Analytics for Identifying and Analyzing Image Patterns in AI-generated Images#1063582
Record · ID 1411949
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