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DPIL-Traj: Differential Privacy Trajectory Generation Framework with Imitation Learning

Year: 2025
Type: article
Abstract: The generation of synthetic trajectories has become essential in various fields for analyzing complex movement patterns. However, the use of real-world trajectory data poses significant privacy risks, such as location re-iden... | Find, read and cite all the research you need on Tech Science Press
Authors: Huaxiong Liao, Xiangxuan Zhong, Xueqi Chen, Yirui Huang, Yuwei Lin, Jing Zhang, Bruce Gu
Language: English
Open Access status: diamond
OpenAlex ID: W4414816276
FWCI: 0.831
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Cited by: 2
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