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SIGMOD 2019 Paper: Compact Data Representation with Bounded Rank Regret

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...

Key to Security and Privacy

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....

AU Ed Talk: Data in the everyday

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...

Privacy-Preserving Framework for Publishing Electronic Healthcare Records

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...

Talk at UMD: Privacy Contextualization: the Good, the Bad, and the Ugly

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”....

NSF Project: Robust Twitter Analytics

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”.

NSF Project: Privacy Regrets in Smartphone Usage

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”.

Sep 26: Cybersecurity & Privacy Forum: Bridging Research & Practice

Update: See the event re-cap article in Kogod News.

NSF Project: Using social media to solve social problems

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...