Nina-Huang/SopriBench-full

Paper: https://arxiv.org/abs/2606.06784 SopriBench is the first large-scale multimodal benchmark dedicated to evaluating privacy inference risks on social media platforms. It contains 50 user profiles and 1,569 images with fine-grained annotations of 28 personal attributes across 4 dimensions: basic information, socioeconomic status, lifestyle, and sensitive information. The dataset is designed to facilitate research on privacy-preserving AI, adversarial privacy attacks, and multimodal… See the full description on the dataset page: https://huggingface.co/datasets/Nina-Huang/SopriBench-full.