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Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection
March 26, 2024, 4:47 a.m. | Minzhou Pan, Zhengting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we propose WaterMark Detection (WMD), the first invisible watermark detection method under a black-box and annotation-free setting. WMD is capable of detecting arbitrary watermarks within a given reference dataset using a clean non-watermarked dataset as a reference, without relying on specific decoding methods or prior knowledge of the watermarking techniques. We develop WMD using foundations of offset learning, where a clean non-watermarked dataset enables us to isolate the influence of only watermarked …
abstract annotation arxiv box cs.ai cs.cv dataset detection free haystack invisible watermark paper reference type watermark watermarks wmd
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