Summary

• Dataset: Focuses on the evaluation of FakeAVCeleb, a dataset containing both deepfake videos and synthesized audios.
• Findings: Benchmarks with different detection methods reveal that unimodal detectors are less effective compared to multimodal approaches.

Opinion

The study importantly illuminates the weaknesses of single-modality detection in the evolving landscape of AI-generated fake media. The use of comprehensive multimodal datasets for testing and refining detection algorithms could pave the way for more robust defense mechanisms against deepfakes.