Ryan McKenna has recently won the National Institute of Standards and Technology’s (NIST) Differential Privacy Synthetic Data Challenge Match #3. The competition tests participants’ ability to identify and develop practical methods for creating differentially private synthetic data sets. The challenges include empirical evaluation of synthetic data generation on common tasks […]
Two papers from DREAM Lab have been recognized as 2018 ACM SIGMOD Research Highlights. Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, and Gerome Miklau were recognized with a 2018 SIGMOD Research Highlight Award for their work on “Ektelo: A Framework for Defining Differentially-Private Computations“. Brian […]
Laura Haas has been given the 2019 IEEE Computer Society Pioneer Award “for significant contributions to early concepts and developments in the electronic computer field that have clearly advanced the state of the art in computing. [Details]
Ryan McKenna has recently won fourth place and a $3,000 prize in the National Institute of Standards and Technology’s (NIST) second match in the Differential Privacy Synthetic Data Challenge. The competition tests participants’ ability to identify and develop practical methods for creating differentially private synthetic data sets. The challenges include […]
The National Institute of Standards and Technology’s (NIST) Public Safety Communications Research (PSCR) Division is proud to announce the winners of the first of three matches in the Differential Privacy Synthetic Data Challenge. This initiative is the first of its kind in differential privacy and offers a unique opportunity to […]
Alexandra Meliou and Yuriy Brun have received a grant from the National Science Foundation to study how software systems can exhibit bias and how software engineers can develop fairer, more equitable systems. Read More
Peter Haas‘s paper “Temporally-Biased Sampling for Online Model Management” has been selected as the best paper of EDBT 2018!
Peter Haas wins the IBM Research Pat Goldberg Memorial Best Paper Award for his VLDB 2016 paper. “Compressed Linear Algebra for Large-Scale Machine Learning” Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, and Berthold Reinwald
Sainyam Galhotra, Alexandra Meliou, and Yuriy Brun‘s work on Fairness Testing has been recognized with the ACM SIGSOFT Distinguished Paper Award.
Matteo Brucato’s paper at VLDB 2016, “Scalable Package Queries in Relational Database Systems”, was selected for a SIGMOD Research Highlight Award! The highlight will appear on the March 2017 issue of the SIGMOD record. Package Builder Website.