Ryan McKenna’s paper “Optimizing error of high-dimensional statistical queries under differential privacy” was accepted to VLDB 2018. Xiaolan Wang’s paper “Scalable Semantic Querying of Text” was accepted to VLDB 2018. Authors: Xiaolan Wang, Aaron Feng, Behzad Golshan, Alon Halevy, George Mihaila, Hidekazu Oiwa, Wang-Chiew Tan.

“SQuID: Semantic Similarity-Aware Query Intent Discovery” Anna Fariha, Sheikh Muhammad Sarwar, Alexandra Meliou “IoT-Dectective: Analyzing IoT Data Under Differential Privacy” Sameera Ghayyur, Ashwin Machanavajjhala, Yan Chen, Michael Hay, Sharad Mehrotra, Roberto Yus, Gerome Miklau “A Nutritional Label for Rankings” Ke Yang, Bill Howe, Julia Stoyanovich, HV Jagadish, Abolfazl Asudeh, Gerome […]

Two papers from our DBLab have been nominated and selected for publication in the “Research Highlights” section of the CACM! “Scalable Package Queries in Relational Database Systems” Matteo Brucato, Juan Felipe Beltran, Azza Abouzied, and Alexandra Meliou “Compressed Linear Algebra for Large-Scale Machine Learning” Ahmed Elgohary, Matthias Boehm, Peter J. […]