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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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06/28/2023
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting
Forecasting the number of visits to Points-of-Interest (POI) in an urban...
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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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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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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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11/24/2020
When Machine Learning Meets Privacy: A Survey and Outlook
The newly emerged machine learning (e.g. deep learning) methods have bec...
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11/05/2019
On the Importance of Location Privacy for Users of Location Based Applications
Do people care about their location privacy while using location-based s...
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02/24/2019
Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets
The big data era requires a growing number of companies to publish their...
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05/16/2018
Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model
Recent years have seen rising needs for location-based services in our e...
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01/11/2018