MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning 事件

MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning arXiv:2603.18577v2 Announce Type: replace Abstract: Text-guided image editors can now manipulate authentic medical scans with high fidelity, enabling lesion implantation/removal that threatens clinical trust and safety. Existing defenses are inadequate for healthcare. Medical detectors are largely black-box, while MLLM-based explainers are typically post-hoc, lack medical expertise, and may hallucinate evidence on am