Selecting the best items in a dataset is a common task in data exploration. However, the concept of “best” lies in the eyes of the beholder - different users may...
Heng Xu, co-director of the Robust Analytics Lab (RAL), was recently featured in Kogod News discussing why cyber risk awareness is so essential, yet often lacking, for preventing data breaches....
Heng Xu, co-director of the Robust Analytics Lab, will deliver one of the four AU Ed Talks in this year’s All American Weekend. Her talk, “Data in the Everyday”, will...
In the 2018 Connections in Smart Health Workshop, Nan Zhang and collaborators presented a poster on their recent progress for an NSF-sponsored collaborative research project on “Privacy-Preserving Framework for Publishing...
Heng Xu, co-director of the Robust Analytics Lab, will give a talk at the iSchool, University of Maryland, College Park, titled “Privacy Contextualization: the Good, the Bad, and the Ugly”....
We gratefully acknowledge the National Science Foundation for their support on our project 1850605, “RR: Establishing and Boosting Confidence Levels for Empirical Research Using Twitter Data”.
We gratefully acknowledge the National Science Foundation for their support on our project 1801539, “SaTC: CORE: Medium: Situation-Aware Identification and Rectification of Regrettable Privacy Decisions”.
Heng Xu, co-director of the Robust Analytics Lab, is a co-PI of a recently awarded National Science Foundation project, 1823633: “RR: The Generalizability and Replicability of Twitter Data for Population...