2 papers
cs.LG2025
TraceHiding: Scalable Machine Unlearning for Mobility Data
Ali Faraji, Manos Papagelis
This work introduces TraceHiding, a scalable, importance-aware machine unlearning framework for mobility trajectory data. Motivated by privacy regulations such as GDPR and CCPA gra…
cs.LG2025
TrajLearn: Trajectory Prediction Learning using Deep Generative Models
Amirhossein Nadiri, Jing Li, Ali Faraji +2
Trajectory prediction aims to estimate an entity's future path using its current position and historical movement data, benefiting fields like autonomous navigation, robotics, and…