ExplainFake
ExplainFake
Multimodal deepfake detector that explains which frames and sounds gave it away
Problem
Deepfake detectors output a single score with no explanation, so a flagged video can't be audited by a human reviewer or trusted in a real moderation pipeline.
Solution
Undergraduate thesis project combining pretrained visual and audio encoders through cross-attention, with attention maps forming the explainability layer; evaluated within- and cross-dataset on FakeAVCeleb and AV-Deepfake1M.
- Stack
- PyTorchOpenCVMultimodal LearningExplainable AI
- Last updated
- May 2026