2 papers
cs.AI2026
diffGHOST: Diffusion based Generative Hedged Oblivious Synthetic Trajectories
Florent Guépin, Cheick Tidiani Cisse, Denis Renaud +2
Trajectories are nowadays valuable information for a wide range of applications. However they are also inherently sensitive, as they contain highly personal information about indiv…
cs.AI2026
A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities
Aya Cherigui, Florent Guépin, Arnaud Legendre +1
Human mobility data are used in numerous applications, ranging from public health to urban planning. Human mobility is inherently sensitive, as it can contain information such as r…