Reproduce “ProxyEraseAgent: Blind Watermark Removal in the Wild” on OpenResearch

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About this paper

Jun Yao, Chao Wang, Yupeng Qiu, Zehua Ma, Weiming Zhang, Bin Liu, Han Fang

ProxyEraseAgent uses publicly released watermark decoders as proxies to guide image changes while limiting perceptual distortion. In a blind setting, it ranks decoders by confidence and searches transformations. Across 100 images and 11 watermark systems, it achieves 94.8% cASR versus 79.5% for Regen-VAE, with target-decoder BER at least 0.1 and AlexNet LPIPS at most 0.05.

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