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20182022
most citedReal-World Trajectory Sharing with Local Differential Privacy

56 citations · 117 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.DB20215 cited

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…

cs.DB202119 cited

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…

cs.DB202156 cited

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…

cs.DB2020

PPQ-Trajectory: Spatio-temporal Quantization for Querying in Large Trajectory Repositories

Shuang Wang, Hakan Ferhatosmanoglu

We present PPQ-trajectory, a spatio-temporal quantization based solution for querying large dynamic trajectory data. PPQ-trajectory includes a partition-wise predictive quantizer (…

cs.DB20201 cited

SLIM: Scalable Linkage of Mobility Data

Fuat Basık, Hakan Ferhatosmanoğlu, Buğra Gedik

We present a scalable solution to link entities across mobility datasets using their spatio-temporal information. This is a fundamental problem in many applications such as linking…

cs.DB201816 cited

Spatio-Temporal Linkage over Location Enhanced Services

Fuat Basık, Buğra Gedik, Çağrı Etemoğlu +1

We are witnessing an enormous growth in the volume of data generated by various online services. An important portion of this data contains geographic references, since many of the…