这篇论文用硬数据告诉你，AI脱衣已经从搞名人变成搞普通人了，而且Stable Diffusion和Wan是主要生产工具，4chan社区里几百条的高产作者在推波助澜。
该论文对4chan上的AI非自愿合成色情图像（SNEACI）进行了大规模研究，识别出24,105条SNEACI内容。研究发现，非名人目标占比从先前研究的4.7%飙升至55.8%，表明AI裸化已从攻击公众人物转向伤害用户社交圈内的普通人。开源模型主导生产：Stable Diffusion系列生成42.7%的图像，Wan生成66.5%的视频，依赖数千个共享微调模型和教程。最活跃的内容生产者贡献了780条，推动社区参与并降低技术门槛。
From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan
AI nudification uses generative models to create synthetic non-consensual sexually explicit imagery (SNEACI) of real individuals. Prior work has examined dedicated nudification platforms and model repositories, finding that most targets are female celebrities. However, the anonymous content community, where SNEACI is actively requested, generated, and exchanged, remains unexplored. In this work, we present a large-scale study of AI nudification in the wild, identifying 24,105 SNEACI items. We find a significant shift in target demographics: non-celebrity individuals now account for 55.8\% of targets, compared to only 4.7\% in prior studies, indicating that AI nudification has expanded from targeting public figures to increasingly harming individuals within users' own social circles. Meanwhile, open-source models dominate production, with Stable Diffusion family generating 42.7\% of images and Wan generating 66.5\% of videos, all driven by thousands of shared fine-tuned models and accessible tutorials. Yet the ecosystem runs on a small cohort of active producers, with the most prolific producing 780 items, drives community engagement, shapes target demographics, and disseminates technical knowledge that lowers barriers for new producers. Our work provides an empirical understanding of how AI nudification operates in the wild, revealing the mechanisms that sustain this ecosystem and highlighting the urgent need for interventions in platform governance, technical safeguards, and affected individual protection.