Dissecting Agentic Forensics: The Role of Triage, Prompting, and Evidence Arbitration in Open-World Fake Image Detection
cs.CV, cs.AI, cs.CR
Submitted: 2026-09-21
Updated: 2026-09-21
Comments: Accepted at the 2026 Workshop on AI for Multimedia Forensics and Disinformation Detection (AI4MFDD), ECCV 2026. 34 pages (17 main paper incl. references, 17 appendix), 7 figures, 5 tables
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Towards Reliable Identification of Diffusion-based Image Manipulations
- ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
- From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection
- Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection
- EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models