DeepGuard AI — EfficientNet B4 Deepfake Detector DeepGuard AI is a binary deepfake detection model fine tuned on a custom face swap dataset using EfficientNet B4. It detects AI generated face swaps (inswapper, SimSwap, DeepFaceLab, StyleGAN2) and provides GradCAM explainability heatmaps to highlight suspicious facial regions. This repository also contains inswapper 128.onnx (InsightFace) used for adversarial face swap generation in the research pipeline. Model Files File Size Description efficientnet b4 deepguard.pth 74.9 MB v1 checkpoint — EfficientNet B4 binary classifier efficientnet b4 deepguard v2.pth 74.9 MB v2 checkpoint (recommended) — fine tuned on extended dataset inswapper 128.onnx 554 MB InsightFace face swap model for generation pipeline Performance (v2 — Validation Set) Metric Value Accuracy 91.54% Precision 91.73% Recall 91.38% F1 Score 0.9156 AUC ROC 0.9486 False Positive Rate 1.27% Cross Method Benchmark Method Accuracy AUC StyleGAN2 94.8% 0.9820 inswapper 128 91.5% 0.9486 FaceSwap 89.3% 0.9380 DeepFaceLab 85.1% 0.9210 Stable Diffusion 78.4% 0.8940 Training Configuration Parameter Value Base model EfficientNet B4 (timm) Pre training ImageNet 21k Input size 380 × 38…
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