A newer version of the Gradio SDK is available: 6.29.1
metadata
title: XAI - DeepfakeDetection & Forensics Suite
emoji: 👁
colorFrom: red
colorTo: red
sdk: gradio
sdk_version: 6.22.0
python_version: '3.12'
app_file: app.py
pinned: false
license: mit
models:
- buildborderless/CommunityForensics-DeepfakeDet-ViT
datasets:
- buildborderless/deepfake-explainability
short_description: Most comprehensive suite of tests for research and datasets.
DeepfakeDet-ViT XAI & Digital Forensics Suite
Interactive explainability dashboard and digital forensics suite for the ViT-Small Deepfake Classifier (buildborderless/CommunityForensics-DeepfakeDet-ViT).
Features
- 7 ViT Attribution Methods: Attention Rollout, Chefer Gradient-Rollout, GradCAM, Integrated Gradients, DeepLIFT, Occlusion Sensitivity, Per-Head Attention.
- 5 Classic Digital Forensics Tools: Error Level Analysis (ELA), Spatial Edge Gradient, Bit Plane Extractor, MinMax Deviation, Wavelet Noise Estimation.
- Forensic Report Generator: Export multi-panel high-DPI infographic report PNGs.
- Dataset Integration: Log predictions, user ground truth feedback (Real / Fake / FP / FN), and 7-method composite XAI heatmaps to
buildborderless/deepfake-explainability.