56 citations · 83 across the 5 of their papers we have counts for
5 papers
RAGUEL: Recourse-Aware Group Unfairness Elimination
Aparajita Haldar, Teddy Cunningham, Hakan Ferhatosmanoglu
While machine learning and ranking-based systems are in widespread use for sensitive decision-making processes (e.g., determining job candidates, assigning credit scores), they are…
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy
Teddy Cunningham, Konstantin Klemmer, Hongkai Wen +1
Synthetic data generation is a fundamental task for many data management and data science applications. Spatial data is of particular interest, and its sensitive nature often leads…
Collective Shortest Paths for Minimizing Congestion on Temporal Load-Aware Road Networks
Chris Conlan, Teddy Cunningham, Gunduz Vehbi Demirci +1
Shortest path queries over graphs are usually considered as isolated tasks, where the goal is to return the shortest path for each individual query. In practice, however, such quer…
Privacy-Preserving Synthetic Location Data in the Real World
Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu
Sharing sensitive data is vital in enabling many modern data analysis and machine learning tasks. However, current methods for data release are insufficiently accurate or granular…
Real-World Trajectory Sharing with Local Differential Privacy
Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu +1
Sharing trajectories is beneficial for many real-world applications, such as managing disease spread through contact tracing and tailoring public services to a population's travel…