Results show that the copy–paste attack degrades watermark detectability when using very sparingly and only short sentences are used, while deletion becomes effective only at extreme levels on short texts, and underscore the need for future watermark designs to prioritise resilience to semantic and cross-lingual transformations.
Results show that apparent attack winners depend on text-quality constraints, attack generality, and capability assumptions, and that apparent attack winners depend on text-quality constraints, attack generality, and capability assumptions.
Kai-Rong Li, Zhi-Kun Zhang, Xiao-Nan Ren et al.· 1 citation
This work introduces OpenStamp, a watermarking technique that encodes the watermarking logic directly into the model weights by modifying only the final projection, or unembedding, layer, and shows that OpenStamp achieves superior detection performance, with minimal degradation in model capabilities compared to prior m...
LLM watermarking has become an effective approach to distinguishing AI-generated text from human-written text by embedding detectable patterns during generation. However, a small post-generation edit may change the meaning of the text without removing its overall watermark signal, creating a risk that the modified cont...
Ze-Wei Deng, M. Siddeek, Li-Yan Xie et al.· 1 citation· ⚡1
FeatMark is introduced, a watermarking framework that shifts from pixel-level, energy-starved perturbations to inconspicuous semantic features: small, scene-consistent micro- features that remain natural to humans while providing a stronger, machine-verifiable provenance signal.
Hao-Yang Li, Ruo-Xi Sun, Qing-Qing Ye et al.· 0 citations
Digital image watermarking is increasingly critical in media contexts, as emerging regulations and industry practices require marking AI-generated content and ensuring traceable sources to prevent manipulation or misuse. Recent advances in invisible watermarking methods highlight the need to update existing benchmarkin...
Khaled Abud, A. Yakushev, Aleksandr Akimenkov et al.· 0 citations
(k)-SwordStamp is designed: semantic watermarks with order-robust detection over sub-sentence units, reducing sensitivity to attacker-chosen structure at a small quality cost.
Abdulrahman Diaa, Jonathan Petit, Florian Kerschbaum· 2 citations
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