👁️ Facial Recognition Bypass Mastery

Learn how facial recognition systems work, how they’re attacked, and how to defend them. Master AI-based face recognition, spoofing techniques, deepfake manipulation, and ethical red teaming.

🎯 What You’ll Learn

• Understand how facial recognition & biometric systems work.
• Learn real-world spoofing techniques (2D, 3D, deepfake).
• Use open-source tools like DeepFaceLab, InsightFace, and OpenCV.
• Simulate and test attacks on authentication systems.
• Explore defenses: liveness detection, adversarial training, multimodal verification.

🎓 Course Content

10 Sections • 10 Lectures

1. Introduction to Facial Recognition Systems
2. Understanding Face Detection Algorithms
3. Deep Learning in Face Recognition (FaceNet, ArcFace)
4. Facial Spoofing Techniques: Print, Replay & 3D Masks
5. Deepfake Generation with DeepFaceLab
6. Real-Time Spoofing with DeepFaceLive
7. Adversarial Attacks on Face Recognition
8. Liveness Detection & Countermeasures
9. Building a Secure Biometric Login App

📊 By the Numbers

• Skill Level: Beginner to Intermediate
• Languages: English
• Captions: Yes
• Lectures: 10
• Access: Lifetime
• Certificate: Yes (Optional)

✅ Features

• Compatible with Windows 10 & 11
• Compatible with macOS
• Works on Linux (DragonOS recommended)
• Accessible on iPhone/iOS
• Accessible on Android
• Source code & labs hosted on GitHub
• Fully open-source tools

🔧 Required Hardware and Software

🖥️ Hardware (Optional but Recommended)

• Standard PC or Laptop with webcam
• NVIDIA GPU (for deepfake training)
• USB Camera (for spoofing demos)

💾 Software & Tools

🧠 What You’ll Understand

• The inner workings of biometric systems
• How facial spoofing defeats standard recognition
• How to simulate and test spoofing attacks (for ethical use)
• How liveness detection, depth sensors, and adversarial training improve defenses
• When and where to apply multi-factor biometrics (face + voice + behavior)

👥 Who This Course is For

• Cybersecurity professionals interested in biometric red teaming
• Developers building face-based authentication systems
• Students of AI, privacy, or ethical hacking
• Anyone curious about deepfakes and face spoofing techniques
• Penetration testers and digital forensics analysts

🚀 Bonus

• 🔒 Legal & Ethical Frameworks: How to do red team work responsibly
• 🧪 Capstone: Simulate a facial spoof and deploy a secure countermeasure
• 💬 Access to private community + GitHub discussion threads