DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation

Understand

This paper investigates the piracy problem of deep learning models.

• Designing and training a well-performing model is generally expensive.
• However, when releasing them, attackers may reverse engineer the models and pirate their design.
• This paper, therefore, proposes deep learning obfuscation, aiming at obstructing attackers from pirating a deep learning model.