4 papers
DF26: We Cannot Tell Fake From Real Anymore
Severyn Shykula, Andrii Yermakov, Ivan Samarskyi +3
We introduce DF26, a novel benchmark for detecting AI-generated videos containing fully synthetic clips produced by recent text-to-video and image-to-video models. The videos captu…
The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection
Andrii Yermakov, Jan Cech, Mario Fritz +1
Recent deepfake detection methods demonstrate improved cross-dataset generalization, yet the underlying mechanisms remain underexplored. We introduce the Alpha Blending Hypothesis,…
Deepfake Detection that Generalizes Across Benchmarks
Andrii Yermakov, Jan Cech, Jiri Matas +1
The generalization of deepfake detectors to unseen manipulation techniques remains a challenge for practical deployment. Although many approaches adapt foundation models by introdu…
Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection
Andrii Yermakov, Jan Cech, Jiri Matas
This paper tackles the challenge of detecting partially manipulated facial deepfakes, which involve subtle alterations to specific facial features while retaining the overall conte…