---
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`.