Privacy-Preserving Deep Learning

Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex data such as images, speech, and text. The unprecedented accuracy of deep learning methods has turned them into the foundation of new AI-based services on the Internet. Commercial companies that collect user data on a large scale have been the main beneficiaries of this trend since the success of deep learning techniques is directly proportional to the amount of data available for training. Massive data collection required for deep learning presents obvious privacy issues. Users' personal, highly sensitive data such as photos and voice recordings is kept indefinitely by the companies…

• NS
  National Science Foundation

  Award: 1223396 and 1408944
• SN
  Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
• NI
  National Institutes of Health

  Award: LM011028-01