Synthesizing realistic trajectory data with differential privacy
Vehicle trajectory data is critical for traffic management and location-based services.
However, the released trajectories raise serious privacy concerns because they contain …
However, the released trajectories raise serious privacy concerns because they contain …
TCPP: achieving privacy-preserving trajectory correlation with differential privacy
The prevalence of mobile Internet, smart terminal devices, and GPS positioning technology
has generated a vast number of trajectory data that location-based applications can utilize …
has generated a vast number of trajectory data that location-based applications can utilize …
SoK: differentially private publication of trajectory data
À Miranda-Pascual, P Guerra-Balboa… - Proceedings on …, 2023 - petsymposium.org
Trajectory analysis holds many promises, from improvements in traffic management to
routing advice or infrastructure development. However, learning users' paths is extremely …
routing advice or infrastructure development. However, learning users' paths is extremely …
Modeling crossing behaviors of E-bikes at intersection with deep maximum entropy inverse reinforcement learning using drone-based video data
The crossing behaviors modeling of non-networked road users can improve Connected and
Autonomous Vehicles (CAVs)'s awareness of the imminent hazards in shared space while …
Autonomous Vehicles (CAVs)'s awareness of the imminent hazards in shared space while …
An overview of proposals towards the privacy-preserving publication of trajectory data
À Miranda-Pascual, P Guerra-Balboa… - International Journal of …, 2024 - Springer
The privacy risks of processing human locations and their trajectories have been
demonstrated by a large number of studies and real-world incidents. As a result, many …
demonstrated by a large number of studies and real-world incidents. As a result, many …
An efficient and privacy-preserving query scheme in intelligent transportation systems
L Tang, M He, L Xiong, N Xiong, Q Luo - Information Sciences, 2023 - Elsevier
Privacy preservation is a crucial aspect of intelligent transportation systems, particularly in
queries involving sensitive data stored in the Cloud. However, resource-constrained …
queries involving sensitive data stored in the Cloud. However, resource-constrained …
DP-LTGAN: Differentially private trajectory publishing via Locally-aware Transformer-based GAN
R Zhang, W Ni, N Fu, L Hou, D Zhang… - Future Generation …, 2025 - Elsevier
Trajectory data has a wide range of applications in various domains but also raises serious
privacy concerns. To address these concerns, the integration of deep learning with …
privacy concerns. To address these concerns, the integration of deep learning with …
Supporting Pandemic Preparedness with Privacy Enhancing Technology
The COVID-19 pandemic magnified the profound repercussions of modern health crises on
a global level. To effectively prepare for subsequent outbreaks, a focus on hyperlocal, real …
a global level. To effectively prepare for subsequent outbreaks, a focus on hyperlocal, real …
Puts: Privacy-preserving and utility-enhancing framework for trajectory synthesization
Vehicle trajectory data is essential for traffic management and location-based services.
However, publishing real-life trajectory data has been challenging because vehicle …
However, publishing real-life trajectory data has been challenging because vehicle …
STP-KDE: A spatiotemporal trajectory protection and publishing method based on kernel density estimation
Y Niu, H Li, Z Tang, L Liu, H Long, H Yan, M Zhu… - Computers and …, 2024 - Elsevier
Promoted by the Internet of Thing era, the widespread use of mobile sensing devices
equipped with positioning functions has led to the generation of substantial trajectory data …
equipped with positioning functions has led to the generation of substantial trajectory data …