GeoPrivacy-6K is a specialized dataset comprising 6,341 ultra-high-resolution images ($\ge$ 2K resolution) designed to study and defend against reasoning-based privacy threats.
It was introduced in the paper "Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models" to train the ReasonBreak adversarial framework.
