Hide&Seek: Remove Image Watermarks with Negligible Cost via Pixel-wise Reconstruction

Fuente: arXiv
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Main Authors: Chen, Huajie, Zhu, Tianqing, Yang, Hailin, Zhong, Yuchen, Zhang, Yang, Sun, Hui, Xu, Heng, Ying, Zuobin, Yin, Lihua, Zhou, Wanlei
Format: Preprint
Published: 2026
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author Chen, Huajie
Zhu, Tianqing
Yang, Hailin
Zhong, Yuchen
Zhang, Yang
Sun, Hui
Xu, Heng
Ying, Zuobin
Yin, Lihua
Zhou, Wanlei
author_facet Chen, Huajie
Zhu, Tianqing
Yang, Hailin
Zhong, Yuchen
Zhang, Yang
Sun, Hui
Xu, Heng
Ying, Zuobin
Yin, Lihua
Zhou, Wanlei
contents Watermarking has emerged as a key defense against the misuse of machine-generated images (MGIs). Yet the robustness of these protections remains underexplored. To reveal the limits of SOTA proactive image watermarking defenses, we propose HIDE&SEEK (HS), a suite of versatile and cost-effective attacks that reliably remove embedded watermarks while preserving high visual fidelity.
format Preprint
id arxiv_https___arxiv_org_abs_2603_01067
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Hide&Seek: Remove Image Watermarks with Negligible Cost via Pixel-wise Reconstruction
Chen, Huajie
Zhu, Tianqing
Yang, Hailin
Zhong, Yuchen
Zhang, Yang
Sun, Hui
Xu, Heng
Ying, Zuobin
Yin, Lihua
Zhou, Wanlei
Cryptography and Security
Artificial Intelligence
Watermarking has emerged as a key defense against the misuse of machine-generated images (MGIs). Yet the robustness of these protections remains underexplored. To reveal the limits of SOTA proactive image watermarking defenses, we propose HIDE&SEEK (HS), a suite of versatile and cost-effective attacks that reliably remove embedded watermarks while preserving high visual fidelity.
title Hide&Seek: Remove Image Watermarks with Negligible Cost via Pixel-wise Reconstruction
topic Cryptography and Security
Artificial Intelligence
url https://arxiv.org/abs/2603.01067