English(EN) Protective Perturbations Must Survive the Resize: Scale-Robust Image Immunization against Malicious Editing

新的SRIM方法增强了图像抵御恶意编辑的能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

研究人员开发了一种名为SRIM的新方法来保护图像免受恶意编辑，尤其是在图像被缩放时。现有方法针对特定分辨率进行了优化，但SRIM通过采样锚点尺度的网格来考虑未知的缩小因子。这种方法显著增加了像FLUX.2-klein、FLUX.2-dev和9B模型等模型所进行的编辑的干扰性，在高清照片上提供大致两倍的同等可见性保护。 AI

影响增强了AI生成或编辑的图像在面对恶意篡改时的安全性。

排序理由该项目是一篇在arXiv上发表的研究论文，详细介绍了一种新的图像安全方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Zhongliang Guo, Yan Lin, Yifei Qian, Daizong Liu · 2026-10-07 04:00

保护性扰动必须经受住缩放：可扩展鲁棒图像免疫恶意编辑

arXiv:2610.07464v1 Announce Type: new Abstract: Protective perturbations aim to stop malicious instruction-guided editing of personal photos, but they are optimized and evaluated at the editor's working resolution, whereas shared photos have 10 megapixels or more and editors firs…

本文如何被排名

报道来源 [1]

保护性扰动必须经受住缩放：可扩展鲁棒图像免疫恶意编辑

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