hirok
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
ExplainFake — Hirok Roy Rahul