arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~

滥用的痕迹:生成式AI如何影响基于图像的性虐待(IBSA)调查

Traces of Abuse: How Generative AI Impacts Image-Based Sexual Abuse (IBSA) Investigations

Jasmin Wyss, Anna Neumann, Ivy Turk, Rebekah Overdorf

arXiv 2608.14616首次发表:更新:

AI 中文总结

该研究针对生成式AI引入IBSA工作流程的问题,通过对比不同IBSA场景的法医痕迹,指出生成式AI会降低IBSA犯罪难度并增加施害者追踪难度,不利于IBSA调查。

AI 中文摘要

生成式AI(GAI)被引入基于图像的性虐待(IBSA)的工作流程后,进一步降低了IBSA内容的创建和传播难度,使更多人成为受害者。本文阐述生成式AI-IBSA(GAI-IBSA)的引入如何影响相关痕迹的生成以及可用于调查的推理类型,通过对比四种不同IBSA场景中可用的法医痕迹来说明这种影响,同时探讨其对调查可能性的影响,认为生成式AI的出现总体上使施害者受益,既降低了犯罪难度,也更难追踪施害者。

英文摘要

The introduction of generative AI (GAI) into the workflow of image-based sexual abuse (IBSA) only worsened the ease of creation and distribution, victimizing more people than ever. We outline how the introduction of generative AI (GAI-IBSA) impacts the creation of traces and the type of reasoning they allow. We illustrate the impact by comparing the forensic traces available in four different IBSA scenarios. We discuss the impacts on the (possibility of) investigation, arguing that the advent of generative AI overall benefits abusers by making perpetration easier, and the perpetrator harder to trace.

CommentsAccepted at the "Community Building for Researchers on Generative AI-Facilitated Image-Based Abuse" Workshop at SOUPS 2026

论文原文

arXiv 摘要页 · PDF 原文 · HTML 原文

↑