2015 Proceeding
Developments in mobile and surveying technologies over the past decade have enabled the collection of individual-level and aggregated geographic information at unprecedented scale. These data are valuable sources for answering scientific questions about human behavior and improving related services, from public transportation to location-aware recommendations. However, privacy intrusion is an imminent risk when individual trajectories (and in some cases aggregated travel patterns) are used for commercial purposes such as customer profiling, or even for political persecution. Similarly, there is a trade-off between location privacy and quality of spatial search and recommender systems. This GeoPrivacy workshop focuses on discussing methods to protect individuals' privacy while enabling collection, analysis, and sharing of useful geographic information.
Proceeding Downloads
PrAd: Enabling Privacy-Aware Location based Advertising
Smart phones and mobile devices have become more and more ubiquitous recently. This ubiquity gives chance for mobile advertising, especially location-based advertising, to develop into a very promising market. In many location-based advertising services,...
Disseminating Location Privacy Threats and Protection Techniques through Capture-the-Flag Games (Vision Paper)
Recent years witnessed a tremendous growth in the area of mobile computing. Users with mobile devices are able to access services customized to their geographical coordinates, and to engage in complex interactions with other users in their proximity. ...
Differentially Private H-Tree
In this paper, we study the problem of publishing a synopsis of two-dimensional datasets using differential privacy. The challenge is to enable accurate answers range count queries given a privacy budget. The state-of-the-art methods either construct a ...
Informative Yet Unrevealing: Semantic Obfuscation for Location Based Services
The preservation of geo-privacy is a critical consideration for location-based service (LBS) providers. Unfortunately, a trade-off typically exists between the quality of location-based services and revealing of private information (e.g. geo-coordinates)...
A Distributed Approach for Privacy Preservation in the Publication of Trajectory Data
Advancements in mobile computing techniques along with the pervasiveness of location-based services have generated a great amount of trajectory data. These data can be used for various data analysis purposes such as traffic flow analysis, infrastructure ...
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| GeoPrivacy '14 | 8 | 5 | 63% |
| Overall | 8 | 5 | 63% |