PateGAIL++: Utility Optimized Private Trajectory Generation with Imitation Learning
ICLROral2026
TL;DR
Human mobility trajectory data supports a wide range of applications, including urban planning, intelligent transportation systems, and public safety monitoring. However, large-scale, high-quality mobility datasets are difficult to obtain due to privacy concerns.
Opening excerpt from the authors’ abstract. source
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Topics
imitation learning planning dataset privacy safety