Face Swapping Video Detection with CNN

Presented at DEF CON China 1.0 (2019), June 1, 2019, noon (20 minutes)

Recent developments of fabricating faces in videos such as Deepfakes have raised significant concerns that these deep learning techniques may be abused to create pornographic video or fake propaganda. In Deepfakes videos, the faces of a person are replaced with the faces of another one. And these faked videos are nearly indistinguishable for human.

We find CNN-based networks can effectively distinguish DeepFakes videos from the real ones and present two effective methods. Firstly, we use a simple yet effective CNN architecture with several convolutional layers to build a powerful DeepFakes detector. Secondly, we find a FaceNet based method is an effective binary classifier. FaceNet is one of the state-of-the-art convolutional neural networks for face recognition, which could catch high-level features of faces. We use these features to train an SVM classifier. The two methods demonstrate successful detection reaching an accuracy rate of 99% and 94% respectively among our tests.


Presenters:

  • Wei Tao - Chief Security Scientist, Baidu
  • Hao Xin - Security Researcher, Baidu X-Lab
    Hao Xin has been engaged in security product development for many years in Baidu. His main research directions include object detection and image classification.
  • Liu Yan - Security Researcher, Baidu X-Lab
    Liu Yan (Dou Goodman), Head of AI security team of Baidu X-Lab, is a technology writer of AI Safety Trilogy. His research interests include AI and network security. He starts the open source project Advbox.
  • Junfeng Xiong - Security Researcher, Baidu X-Lab
    Junfeng Xiong(Jay Xiong) is an AI security researcher at Baidu X-Lab. His research interests cover deep learning security, privacy and IOT.
  • Wang Yang - Security Researcher, Baidu X-Lab
    Wang Yang is a senior security researcher of Baidu X-Lab. His interests lie in face recognition, adversarial learning, and data mining. He maintains and actively contributes to Advbox project that is an open source toolbox for AI safety.

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