Data Mining for Privacy

Friday, November 14, 2014 - 2:10 pm

The privacy dangers of data mining are serious and much discussed. Data mining also can help us understand privacy attitudes and behaviors. This talk will cover some recent efforts to leverage public data to better support anonymity and understand topic sensitivity. Use cases include anonymous blogging, document sanitization and more user-friendly sharing and advertising. I will also talk about challenges in moving forward with this area of research and open problems.

Data Mining for Privacy | Data Dialogs 2014

Jessica Staddon

Research Scientist & Privacy Product Lead

Google

Jessica is a research scientist and privacy product lead at Google working on leveraging data for better security and privacy. Her interests include usability of security and privacy technology, trends in privacy-related attitudes and methods for measuring and predicting privacy-related behaviors, attitudes and risks. Prior to Google, she was an area manager at Xerox PARC and a research scientist at Bell Labs and RSA Labs. She serves regularly on the program committees of ACM and IEEE sponsored security/privacy conferences and is on the editorial boards of the Journal of Computer Security and the International Journal of Information and Computer Security and the advisory board of the Association for Women in Mathematics. Jessica holds a Ph.D. in Mathematics from U. C. Berkeley.