PrivateHub: Contrastive Diffusion Model for Private Sensor-Intensive Environment Data Generation
This work introduces Privatehub, which uses contrastive learning within a diffusion model to generate synthetic multi-sensor streams that keep non-private applications detectable while concealing private ones in sensor-intensive environments.