arXiv cs.CY· Bernardo B. P. Medeiros (University of Florida), Malvika Jadhav (University of Florida), Allison Lu (University of Florida), Tadayoshi Kohno (Georgetown University), Vincent Bindschaedler (University of Florida), Kevin R. B. Butler (University of Florida)·· 13 小时前AI 评分48
研究揭示 4chan 与 Reddit 上合成非自愿私密影像生态：156 个 LoRA 文件、54 款商业脱衣应用
It Takes a Forum: Resources & Stakeholders Sustaining the Online Synthetic Non-Consensual Intimate Image Creation Ecosystem
AI 导读
一项跨社区分析发现，4chan 与 Reddit 上的恶意用户通过共享 156 个针对 141 位女性名人的 LoRA 微调文件和 54 款商业脱衣应用链接，支撑合成非自愿私密影像（SNCII）的生成与传播。
正文 · 原文
Abstract:Many malicious actors responsible for disseminating synthetic non-consensual intimate imagery (SNCII) operate within internet forums to exchange resources, strategies, and generated content across multiple platforms. Technically-sophisticated actors gravitate toward certain communities (e.g., 4chan), while lower-sophistication end-users are more active on others (e.g., Reddit). To characterize key stakeholders in the broader ecosystem, we perform an integrated analysis of multiple communities, analyzing 282,154 4chan comments and 78,308 Reddit submissions spanning 165 days between June and November 2025 to characterize involved actors, actions, and resources. We uncover a litany of resources both shared and discussed by myriad actors on both forums, including 156 low-ranking adaptation (LoRA) files used to finetune models to target 141 female celebrities (on 4chan), and links to 54 commercial nudification applications (on Reddit). Our results illustrate: (a) that users with differing levels of technical sophistication employ and share a wide range of primary resources facilitating SNCII content creation as well as numerous secondary resources facilitating dissemination; and (b) that knowledge transfer between experts and newcomers facilitates propagation of these illicit resources. Based on our empirical analysis, we identify gaps in existing SNCII regulatory infrastructure and synthesize several critical intervention points for bolstering deterrence.
| Comments: | 18 pages, 6 figures, 10 tables |
| Subjects: | Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC) |
| ACM classes: | K.4.2; I.2.1; I.4 |
| Cite as: | arXiv:2604.12190 [cs.CY] |
| (or arXiv:2604.12190v2 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2604.12190 arXiv-issued DOI via DataCite |
Submission history
From: Malvika Jadhav [view email]
[v1]
Tue, 14 Apr 2026 01:45:22 UTC (1,664 KB)
[v2]
Tue, 20 Oct 2026 18:07:41 UTC (929 KB)
来源：arXiv cs.CY · arxiv.org