---
license: apache-2.0
title: DeepFense
sdk: streamlit
emoji: 🛡️
colorFrom: blue
colorTo: indigo
pinned: true
---

# 🛡️ DeepFense: Modular Deepfake Audio Detection 🎙️

👋 **Welcome to the official Hugging Face home of the DeepFense Framework!**

We are the **DeepFense Team**. Our mission is to provide the research community with a robust, modular, and configuration-driven framework for building, training, and evaluating state-of-the-art audio deepfake detectors.

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### 🚀 The Framework at a Glance
DeepFense simplifies audio forensics by decoupling frontends, backends, and loss functions. Whether you are a researcher or a developer, you can swap components via simple YAML configs—no code changes required.

* **Modular Design:** Mix-and-match components like `WavLM`, `HuBERT`, or `EAT` (Frontends) with `AASIST`, `Nes2Net`, or `ECAPA-TDNN` (Backends).
* **Hugging Face Native:** Access **455+ pretrained models** and **12 benchmark datasets** (ASVSpoof19, CompSpoof, etc.) directly through our CLI.
* **Reproducible Research:** Automatic tracking of EER, minDCF, and F1 metrics with built-in WandB logging.
* **Rich Augmentations:** Built-in RawBoost, RIR, Codec, and more to ensure model robustness.

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### 🛠️ Quick Start
Get started with DeepFense in under 5 minutes:

```bash
# Install the framework
pip install deepfense

# Download a specific model & dataset
deepfense download dataset CompSpoof
deepfense download model ASV19_WavLM_Nes2Net_NoAug_Seed42
```

### 🛠️ Small Tutorial
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1bdTl0GdYybCYQX8nDioT_Z-XIpwZFRPb?usp=sharing)