Monday, March 18, 2019
12:00 PM
Wegmans 1400
Liyue Fan
SUNY Albany
Keeping it safe: sharing data for research with quantifiable privacy
With an increasing number of people, devices, and sensors connected with digital networks, individually generated data can be largely collected and shared to advance research and benefit our society, e.g., via collaborative biomedical studies and intelligent systems. However, the data generated by individual users contain sensitive information, the disclosure of which may incur serious privacy concerns. In this talk, I will present my research to enable data sharing for research purposes, while protecting individual privacy. My work adopts differential privacy to protect individual participation in the aggregated data, and proposes new quantifiable privacy notions to protect person-specific sensitive information in the individual-level data. I will show that my research provides rigorous, provable privacy guarantees while retaining the utility of the data. Towards the end, I will share my vision for privacy-preserving data sharing and future research opportunities.

Dr. Liyue Fan is an Assistant Professor at SUNY Albany. Her research is at the intersection of privacy and spatio-temporal data. She was named one of the "Rising Stars in EECS" by MIT in 2015. Her current research activities are supported by NSF and SUNY.