Machine Learning Security and Privacy

Our work in this theme is along two dimensions:

  • How to effectively apply machine learning techniques to address difficult security and privacy problems? Our work has ranged from detecting phishing websites and making security/privacy mechanisms easy to use.
  • Understanding security/privacy concerns inherent in machine learning applications in general and developing ways to mitigate these concerns. Our work addresses concerns like privacy-preserving predictions and guarding against model extraction attacks.

Current Projects

Past Projects

Research Institutes/Programs