Deepfakes 2.0: How neural networks are changing our world
Who is this presentation for?
- Software developers, managers, and decision makers
Imagine looking into a mirror, but not seeing your own face. Instead, you’re looking in the eyes of Barack Obama or Angela Merkel. Your facial expressions are seamlessly transferred to the other person’s face in real time.
Martin Förtsch and Thomas Endres dig into a prototype developed by the TNG hardware hacking team that transfers faces from one person to another in real time based on deepfakes. Neural networks detect faces within a video input, then translate them and integrate them back to the video output. Through this technique it’s possible to project deceptively real imitations onto other people. The team used Keras-trained autoencoder networks and various face recognition algorithms.
You’ll get an entertaining and vivid introduction into the world of real-time deepfakes, with a particular focus on the deep learning techniques used within the application. You’ll see several live demonstrations and explore legislation and ethics.
- A basic understanding of terms like neural network, deep neural network, and autoencoder
- Experience in IT (useful but not required)
What you'll learn
- Learn how deepfakes work in its original implementation, how Deepfakes 2.0 were realized, and which challenges had to be solved
- Discover how different types of neural networks like MobileNet and U-Net can be used for transfer learning
- See demonstrations like neural network-powered face segmentation, image inpainting, and generative inpainting
Martin Förtsch is an IT consultant at TNG, based in Unterföhring near Munich who studied computer sciences. His focus areas are Agile development (mainly) in Java, search engine technologies, information retrieval and databases. As an Intel Software Innovator and Intel Black Belt Software Developer, he’s strongly involved in the development of open source software for gesture control with 3D cameras like Intel RealSense and has built an augmented reality wearable prototype device with his team based on this technology. He gives many talks on national and international conferences about AI, the internet of things, 3D camera technologies, augmented reality, and test-driven development. He was awarded with the JavaOne Rockstar award.
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