23 citations · 116 across the 27 of their papers we have counts for
4 papers · 2 filters
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks
Sepanta Zeighami, Cyrus Shahabi, Vatsal Sharan
Range aggregate queries (RAQs) are an integral part of many real-world applications, where, often, fast and approximate answers for the queries are desired. Recent work has studied…
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy
Ritesh Ahuja, Sepanta Zeighami, Gabriel Ghinita +1
Several companies (e.g., Meta, Google) have initiated "data-for-good" projects where aggregate location data are first sanitized and released publicly, which is useful to many appl…
Models and Mechanisms for Spatial Data Fairness
Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
Fairness in data-driven decision-making studies scenarios where individuals from certain population segments may be unfairly treated when being considered for loan or job applicati…
Differentially-Private Publication of Origin-Destination Matrices with Intermediate Stops
Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
Conventional origin-destination (OD) matrices record the count of trips between pairs of start and end locations, and have been extensively used in transportation, traffic planning…