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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>DeepFense Framework | Modular Deepfake Audio Detection</title>
<link rel="icon" type="image/png" href="assets/img/logo.png">
<!-- Fonts -->
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</head>
<body>
<!-- Navbar -->
<nav class="navbar">
<div class="container nav-container">
<a href="#" class="logo">
<img src="assets/img/logo.png" alt="DeepFense Logo">
<span>DeepFense</span>
</a>
<div class="nav-links">
<a href="#features">Features</a>
<a href="#partial-deepfake">Partial Deepfake</a>
<div class="dropdown">
<a href="#modules" class="dropdown-trigger">Modules <i class="fas fa-chevron-down"></i></a>
<div class="dropdown-content">
<a href="#frontends">Frontends</a>
<a href="#backends">Backends</a>
<a href="#losses">Losses</a>
<a href="#augmentations">Augmentations</a>
</div>
</div>
<a href="#huggingface">Hub</a>
<a href="#quickstart">Install</a>
<div class="dropdown">
<a href="https://deepfense.readthedocs.io/en/latest/" target="_blank" rel="noopener" class="dropdown-trigger">Docs <i class="fas fa-chevron-down"></i></a>
<div class="dropdown-content">
<a href="https://deepfense.readthedocs.io/en/latest/" target="_blank" rel="noopener">Clip-level docs</a>
<a href="https://deepfense.readthedocs.io/en/deepfense-partial/" target="_blank" rel="noopener">Partial deepfake docs</a>
</div>
</div>
</div>
<div class="nav-actions">
<a href="https://github.com/Yaselley/deepfense-framework" target="_blank"
class="btn btn-primary github-btn">
<i class="fab fa-github"></i> GitHub
</a>
</div>
<button class="menu-toggle" aria-label="Toggle menu">
<i class="fas fa-bars"></i>
</button>
</div>
</nav>
<!-- Hero Section -->
<section class="hero">
<div class="container hero-container text-center">
<div class="hero-content mx-auto">
<div class="badge badge-white"><i class="fas fa-fire"></i> v0.2 — 455+ Pretrained Models on HuggingFace</div>
<h1 class="text-white">Build, Train & Evaluate<br>Deepfake Audio Detectors</h1>
<p class="text-white-opacity">Clip-level detection and partial deepfake localization — one YAML config, swap frontends, backends, and losses with no code changes.</p>
<div class="hero-buttons justify-center">
<a href="#quickstart" class="btn btn-white btn-lg">Get Started</a>
<a href="https://huggingface.co/DeepFense" target="_blank" class="btn btn-outline-hero btn-lg">
<i class="fas fa-rocket"></i> Model Hub
</a>
</div>
</div>
</div>
</section>
<!-- Pipeline Section -->
<section class="pipeline-section">
<div class="container">
<div class="pipeline-flow">
<div class="pipeline-step">
<div class="pipeline-icon"><i class="fas fa-waveform-lines"></i></div>
<span>Raw Audio</span>
</div>
<div class="pipeline-arrow"><i class="fas fa-arrow-right"></i></div>
<div class="pipeline-step">
<div class="pipeline-icon"><i class="fas fa-ear-listen"></i></div>
<span>Frontend</span>
</div>
<div class="pipeline-arrow"><i class="fas fa-arrow-right"></i></div>
<div class="pipeline-step">
<div class="pipeline-icon"><i class="fas fa-brain"></i></div>
<span>Backend</span>
</div>
<div class="pipeline-arrow"><i class="fas fa-arrow-right"></i></div>
<div class="pipeline-step">
<div class="pipeline-icon"><i class="fas fa-scale-balanced"></i></div>
<span>Loss</span>
</div>
<div class="pipeline-arrow"><i class="fas fa-arrow-right"></i></div>
<div class="pipeline-step">
<div class="pipeline-icon"><i class="fas fa-chart-line"></i></div>
<span>Score</span>
</div>
</div>
</div>
</section>
<!-- Partial Deepfake Section -->
<section id="partial-deepfake" class="partial-section">
<div class="container">
<div class="section-header">
<div class="badge badge-partial"><i class="fas fa-location-dot"></i> Partial deepfake localization</div>
<h2>Two detection modes</h2>
<p>Same modular pipeline — different handling of the time axis.</p>
</div>
<div class="modes-grid">
<div class="mode-card">
<span class="mode-tag">Branch: <code>master</code> · PyPI</span>
<h3>Clip-level</h3>
<p>One label per utterance. Is the whole clip real or fake?</p>
<ul class="mode-flow">
<li>Raw audio → Frontend → Backend <strong>pools time</strong></li>
<li>CrossEntropy / OC-Softmax → one score</li>
<li>Metrics: EER, minDCF, ACC</li>
</ul>
<a href="https://deepfense.readthedocs.io/en/latest/" target="_blank" rel="noopener" class="mode-doc-link">
<i class="fas fa-book"></i> Clip-level documentation
</a>
<div class="mode-code-block">
<div class="mode-code-header">Install & train</div>
<pre><code class="bash">pip install deepfense
# Or from source (master)
git clone https://github.com/Yaselley/deepfense-framework
cd deepfense-framework
pip install -e .
deepfense train --config deepfense/config/train.yaml</code></pre>
<button class="copy-btn copy-btn-sm" aria-label="Copy"><i class="far fa-copy"></i></button>
</div>
</div>
<div class="mode-card mode-card-highlight">
<span class="mode-tag">Branch: <code>deepfense-partial</code></span>
<h3>Partial deepfake</h3>
<p>Dense frame labels. <strong>Where</strong> is the spoof in the clip?</p>
<ul class="mode-flow">
<li>Raw audio → Frontend → FrameMLP / GMLP <strong>keeps time</strong></li>
<li>FramewiseCrossEntropy → score per frame</li>
<li>Metrics: FRAME_F1, <strong>Range EER</strong>, Segment EER, MULTIRES_EER</li>
</ul>
<a href="https://deepfense.readthedocs.io/en/deepfense-partial/" target="_blank" rel="noopener" class="mode-doc-link mode-doc-link-partial">
<i class="fas fa-book"></i> Partial deepfake documentation
</a>
<div class="mode-code-block">
<div class="mode-code-header">Install & train</div>
<pre><code class="bash">git clone https://github.com/Yaselley/deepfense-framework
cd deepfense-framework
git fetch origin
git checkout deepfense-partial
pip install -e .
deepfense train --config deepfense/config/experiments/temporal_deepfake_example.yaml</code></pre>
<button class="copy-btn copy-btn-sm" aria-label="Copy"><i class="far fa-copy"></i></button>
</div>
</div>
</div>
</div>
</section>
<!-- Features Section -->
<section id="features" class="features">
<div class="container">
<div class="section-header">
<h2>Why DeepFense?</h2>
<p>Everything you need for deepfake audio detection research, in one framework.</p>
</div>
<div class="grid-2">
<div class="card">
<div class="icon-box blue">
<i class="fas fa-cubes"></i>
</div>
<h3>Modular Design</h3>
<p>Swap Wav2Vec2 for WavLM, or AASIST for MLP, with a single line of YAML. All components are decoupled and interchangeable.</p>
</div>
<div class="card">
<div class="icon-box purple">
<i class="fas fa-file-code"></i>
</div>
<h3>Configuration-Driven</h3>
<p>Define model architecture, data pipeline, augmentations, loss functions, and training schedule in one YAML file.</p>
</div>
<div class="card">
<div class="icon-box green">
<i class="fas fa-download"></i>
</div>
<h3>HuggingFace Integration</h3>
<p>Download any of 455+ pretrained models and 12 benchmark datasets with a single CLI command.</p>
</div>
<div class="card">
<div class="icon-box orange">
<i class="fas fa-chart-bar"></i>
</div>
<h3>Standardized Metrics</h3>
<p>Clip-level: EER, minDCF, actDCF, F1. Partial branch: framewise metrics plus Range EER and Segment EER for localization.</p>
</div>
<div class="card">
<div class="icon-box purple">
<i class="fas fa-wave-square"></i>
</div>
<h3>Rich Augmentations</h3>
<p>Built-in RawBoost, RIR, Codec, AdditiveNoise, SpeedPerturb, AddBabble, DropFreq, DropChunk, and more.</p>
</div>
<div class="card">
<div class="icon-box blue">
<i class="fas fa-list-check"></i>
</div>
<h3>Reproducible Research</h3>
<p>Configs are saved with every experiment. Same seed + same config = identical results.</p>
</div>
</div>
</div>
</section>
<!-- Modules Section -->
<section id="modules" class="modules bg-light">
<div class="container">
<div class="section-header">
<h2>Core Modules</h2>
<p>All components are plug-and-play via the registry pattern. Use built-in ones or add your own.</p>
</div>
<div class="modules-grid">
<div id="frontends" class="module-card">
<div class="module-icon"><i class="fas fa-ear-listen"></i></div>
<h3>Frontends</h3>
<p class="module-desc">Pretrained SSL feature extractors</p>
<ul class="module-list">
<li>Wav2Vec 2.0</li>
<li>WavLM</li>
<li>HuBERT</li>
<li>MERT</li>
<li>EAT</li>
</ul>
</div>
<div id="backends" class="module-card">
<div class="module-icon"><i class="fas fa-brain"></i></div>
<h3>Backends</h3>
<p class="module-desc">Classifier heads</p>
<ul class="module-list">
<li>AASIST</li>
<li>ECAPA-TDNN</li>
<li>Nes2Net</li>
<li>RawNet2</li>
<li>MLP</li>
<li>TCM</li>
<li>FrameMLP</li>
<li>GMLP</li>
</ul>
</div>
<div id="losses" class="module-card">
<div class="module-icon"><i class="fas fa-scale-balanced"></i></div>
<h3>Loss Functions</h3>
<p class="module-desc">Training objectives</p>
<ul class="module-list">
<li>CrossEntropy</li>
<li>OC-Softmax</li>
<li>AM-Softmax</li>
<li>A-Softmax</li>
<li>FramewiseCE</li>
</ul>
</div>
<div id="augmentations" class="module-card">
<div class="module-icon"><i class="fas fa-magic"></i></div>
<h3>Augmentations</h3>
<p class="module-desc">Data augmentation pipeline</p>
<ul class="module-list">
<li>RawBoost</li>
<li>RIR</li>
<li>Codec</li>
<li>AdditiveNoise</li>
<li>SpeedPerturb</li>
<li>AddBabble</li>
<li>DropFreq</li>
<li>DropChunk</li>
</ul>
</div>
<div id="metrics" class="module-card">
<div class="module-icon"><i class="fas fa-chart-line"></i></div>
<h3>Metrics</h3>
<p class="module-desc">Evaluation metrics</p>
<ul class="module-list">
<li>EER</li>
<li>minDCF</li>
<li>FRAME_F1</li>
<li>Range EER</li>
<li>Segment EER</li>
</ul>
</div>
<div id="optimizers" class="module-card">
<div class="module-icon"><i class="fas fa-sliders"></i></div>
<h3>Optimizers</h3>
<p class="module-desc">Optimization & scheduling</p>
<ul class="module-list">
<li>Adam</li>
<li>AdamW</li>
<li>SGD</li>
<li>CosineAnnealing</li>
<li>StepLR</li>
</ul>
</div>
</div>
</div>
</section>
<!-- Hugging Face Section -->
<section id="huggingface" class="huggingface-section">
<div class="container">
<div class="section-header">
<h2>DeepFense <span class="hf-text">♥</span> Hugging Face</h2>
<p>455+ pretrained models and 12 benchmark datasets, ready to download.</p>
</div>
<div class="grid-3">
<div class="card hf-card">
<div class="icon-box yellow">
<i class="fas fa-boxes-stacked"></i>
</div>
<h3>455+ Pretrained Models</h3>
<p>Checkpoints across 12 datasets, multiple frontends (WavLM, Wav2Vec2, EAT, MERT), backends (AASIST, Nes2Net, MLP, TCM), and seeds.</p>
<div class="code-inline">
<code>deepfense download model ASV19_WavLM_Nes2Net_NoAug_Seed42</code>
</div>
</div>
<div class="card hf-card">
<div class="icon-box yellow">
<i class="fas fa-database"></i>
</div>
<h3>12 Benchmark Datasets</h3>
<p>ASVSpoof19, CompSpoof, DECRO, SONICS, SpeechFake, WaveFake, FakeMusicCaps, and more — as ready-to-use Parquet files.</p>
<div class="code-inline">
<code>deepfense download dataset CompSpoof</code>
</div>
</div>
<div class="card hf-card">
<div class="icon-box yellow">
<i class="fas fa-magnifying-glass"></i>
</div>
<h3>Browse & Filter</h3>
<p>Search for models by frontend, backend, dataset, or seed from the CLI. Download the config and checkpoint in one command.</p>
<div class="code-inline">
<code>deepfense download list-models --filter WavLM</code>
</div>
</div>
</div>
<div class="text-center mt-4">
<a href="https://huggingface.co/DeepFense" target="_blank" class="btn btn-hf btn-lg">
<i class="fas fa-external-link-alt"></i> Browse on HuggingFace
</a>
</div>
</div>
</section>
<!-- Quickstart Section -->
<section id="quickstart" class="quickstart">
<div class="container">
<div class="section-header">
<h2>Get Started</h2>
<p>Install, download, and train in under 5 minutes.</p>
</div>
<div class="code-block-container">
<div class="code-block">
<div class="code-header">1. Install</div>
<pre><code class="bash">pip install deepfense</code></pre>
<button class="copy-btn" data-code="pip install deepfense"><i class="far fa-copy"></i></button>
</div>
<div class="code-block">
<div class="code-header">Or install from source</div>
<pre><code class="bash">git clone https://github.com/Yaselley/deepfense-framework
cd deepfense-framework
pip install -e .</code></pre>
<button class="copy-btn"><i class="far fa-copy"></i></button>
</div>
<div class="code-block">
<div class="code-header">2. Download a dataset & model</div>
<pre><code class="bash">deepfense download dataset CompSpoof
deepfense download model ASV19_WavLM_Nes2Net_NoAug_Seed42</code></pre>
<button class="copy-btn"><i class="far fa-copy"></i></button>
</div>
<div class="code-block">
<div class="code-header">3. Train</div>
<pre><code class="bash">deepfense train --config deepfense/config/train.yaml</code></pre>
<button class="copy-btn"><i class="far fa-copy"></i></button>
</div>
<div class="code-block">
<div class="code-header">4. Test</div>
<pre><code class="bash">deepfense test \
--config models/ASV19_WavLM_Nes2Net_NoAug_Seed42/config.yaml \
--checkpoint models/ASV19_WavLM_Nes2Net_NoAug_Seed42/best_model.pth</code></pre>
<button class="copy-btn"><i class="far fa-copy"></i></button>
</div>
<div class="code-block">
<div class="code-header">5. List all components</div>
<pre><code class="bash">deepfense list</code></pre>
<button class="copy-btn"><i class="far fa-copy"></i></button>
</div>
</div>
<div class="text-center mt-4">
<p style="margin-bottom: 1rem; color: var(--text-light);">Full documentation with tutorials, config reference, and extension guides.</p>
<div style="display: flex; gap: 1rem; justify-content: center; flex-wrap: wrap;">
<a href="https://deepfense.readthedocs.io/en/latest/" target="_blank" rel="noopener" class="btn btn-outline">
<i class="fas fa-book"></i> Clip-level docs
</a>
<a href="https://deepfense.readthedocs.io/en/deepfense-partial/" target="_blank" rel="noopener" class="btn btn-outline">
<i class="fas fa-book"></i> Partial deepfake docs
</a>
<a href="https://pypi.org/project/deepfense/" target="_blank" rel="noopener" class="btn btn-outline">
<i class="fas fa-box"></i> PyPI
</a>
</div>
</div>
</div>
</section>
<!-- Community/Contribute -->
<section class="community bg-dark">
<div class="container text-center">
<h2>Open Source</h2>
<p>DeepFense is Apache 2.0 licensed. Contributions welcome — add new models, datasets, augmentations, or improvements.</p>
<a href="https://github.com/Yaselley/deepfense-framework" target="_blank" class="btn btn-primary btn-lg">
<i class="fab fa-github"></i> Contribute on GitHub
</a>
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<span>DeepFense</span>
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<a href="https://github.com/Yaselley/deepfense-framework">GitHub</a>
<a href="https://deepfense.readthedocs.io/en/latest/" target="_blank" rel="noopener">Docs (clip-level)</a>
<a href="https://deepfense.readthedocs.io/en/deepfense-partial/" target="_blank" rel="noopener">Docs (partial)</a>
<a href="https://pypi.org/project/deepfense/">PyPI</a>
<a href="https://huggingface.co/DeepFense">HuggingFace</a>
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