[Talk Summary] Machine Learning and Privacy: Friends or Foes?
Dr. Vitaly Shmatikov from Cornell Tech gave a talk about "Machine Learning and Privacy: Friends or Foes?" on March, 17, 2017 at School of Information Sciences, University of Pittsburgh. With recent advances in machine learning, there are new powerful tools built on ML models that help to protect data privacy. However, may trained models result in leaking sensitive data? In this talk, Dr Shmatikov presented two part: (1) How to use machine learning against systems by partially encrypt user data in storage (e.g., images); (2) How to turn machine learning against itself, to extract sensitive training data from machine learning models, including black-box models constructed using Google's and Amazon's "learning-as-a-service" platforms. At the beginning of the talk, Dr. Shmatikov introduced a quick overview about machine learning, how it works and outperforms humans. Advanced machine learning is able to deal with typical tasks such as image classification b...