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07/28/2023
Holistic Survey of Privacy and Fairness in Machine Learning
Privacy and fairness are two crucial pillars of responsible Artificial I...
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06/21/2023
Towards Mobility Data Science (Vision Paper)
Mobility data captures the locations of moving objects such as humans, a...
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02/05/2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
Machine learning (ML) is playing an increasing role in decision-making t...
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01/16/2023
Supporting Secure Dynamic Alert Zones Using Searchable Encryption and Graph Embedding
Location-based alerts have gained increasing popularity in recent years,...
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08/20/2022
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy
Several companies (e.g., Meta, Google) have initiated "data-for-good" pr...
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04/04/2022
Models and Mechanisms for Fairness in Location Data Processing
Location data use has become pervasive in the last decade due to the adv...
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02/24/2022
Differentially-Private Publication of Origin-Destination Matrices with Intermediate Stops
Conventional origin-destination (OD) matrices record the count of trips ...
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08/03/2021
A Neural Database for Differentially Private Spatial Range Queries
Mobile apps and location-based services generate large amounts of locati...
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07/29/2021
HTF: Homogeneous Tree Framework for Differentially-Private Release of Location Data
Mobile apps that use location data are pervasive, spanning domains such ...
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05/03/2021
An Efficient and Secure Location-based Alert Protocol using Searchable Encryption and Huffman Codes
Location data are widely used in mobile apps, ranging from location-base...
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04/20/2020
A Secure Location-based Alert System with Tunable Privacy-Performance Trade-off
Monitoring location updates from mobile users has important applications...
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02/28/2020
Dynamic Skyline Queries on Encrypted Data Using Result Materialization
Skyline computation is an increasingly popular query, with broad applica...
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09/01/2019