3 papers
cs.CV2026
Specialist-Generalist Fusion with Outcome-Supervised Rationales for Deepfake Detection
Benedikt Hopf, Zongwei Wu, Radu Timofte
Generalizable deepfake detection requires complementary forensic and semantic visual evidence. Specialist encoders capture subtle manipulation traces but can overfit to source-spec…
cs.CV2026
Robust Deepfake Detection, NTIRE 2026 Challenge: Report
Benedikt Hopf, Radu Timofte, Chenfan Qu +54
Robustness is a long-overlooked problem in deepfake detection. However, detection performance is nearly worthless in the real world if it suffers under exposure to even slight imag…
cs.CV2025
Practical Manipulation Model for Robust Deepfake Detection
Benedikt Hopf, Radu Timofte
Modern deepfake detection models have achieved strong performance even on the challenging cross-dataset task. However, detection performance under non-ideal conditions remains very…