Differentially private trajectory analysis for points-of-interest recommendation

C Li, B Palanisamy, J Joshi - 2017 IEEE International Congress …, 2017 - ieeexplore.ieee.org
Ubiquitous deployment of low-cost mobile positioning devices and the widespread use of
high-speed wireless networks enable massive collection of large-scale trajectory data of …

A novel personalized differential privacy mechanism for trajectory data publication

F Tian, S Zhang, L Lu, H Liu… - … Conference on Networking …, 2017 - ieeexplore.ieee.org
With the development of smart city, more organizations analyze people's trajectory data, so
as to provide better location-based services. However, publishing the original trajectory data …

Differentially-private release of check-in data for venue recommendation

D Riboni, C Bettini - 2014 IEEE International Conference on …, 2014 - ieeexplore.ieee.org
Recommender systems suggesting venues offer very useful services to people on the move
and a great business opportunity for advertisers. These systems suggest venues by …

Collecting individual trajectories under local differential privacy

J Yang, X Cheng, S Su, H Sun… - 2022 23rd IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we tackle the problem of collecting individual trajectories under local
differential privacy. The key challenge is how to achieve high utility of the collected …

Differentially private location recommendations in geosocial networks

JD Zhang, G Ghinita, CY Chow - 2014 IEEE 15th International …, 2014 - ieeexplore.ieee.org
Location-tagged social media have an increasingly important role in shaping behavior of
individuals. With the help of location recommendations, users are able to learn about events …

Differentially private publication scheme for trajectory data

M Li, L Zhu, Z Zhang, R Xu - 2016 IEEE First International …, 2016 - ieeexplore.ieee.org
Trajectory data. Like human mobility trace, in participatory sensing is of vital importance to
many applications, like traffic monitoring, urban planning and social relationship mining …

Protecting the location privacy of mobile social media users

S Wang, R Sinnott, S Nepal - … Conference on Big Data (Big Data …, 2016 - ieeexplore.ieee.org
Unprecedented volumes of location-based information have been produced as a result of
the widespread adoption of social network applications and GPS-enabled devices and …

Ldptrace: Locally differentially private trajectory synthesis

Y Du, Y Hu, Z Zhang, Z Fang, L Chen… - Proceedings of the …, 2023 - dl.acm.org
Trajectory data has the potential to greatly benefit a wide-range of real-world applications,
such as tracking the spread of the disease through people's movement patterns and …

Preserving privacy for moving objects data mining

SS Ho - 2012 IEEE International Conference on Intelligence …, 2012 - ieeexplore.ieee.org
The prevalence of mobile devices with geopositioning capability has resulted in the rapid
growth in the amount of moving object trajectories. These data have been collected and …

Privacy-protected social media user trajectories calibration

S Wang, R Sinnott, S Nepal - 2016 IEEE 12th International …, 2016 - ieeexplore.ieee.org
Advanced data analytics have become an integral part of a number of eScience initiatives
including the many challenges facing the urban sciences. Understanding the movement of …