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.
- Automated generation of deceptive text
- Privacy-preserving machine learning predictions
- Deception Detection via Text Analysis
- Automated detection of organized eCommerce fraud
- Model evasion attacks and defenses