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Author

D. Obydenkov

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#artificial intelligence Preprint Oct 2026

Exploring Weaknesses of Generative Image Watermarks against Latent Frequency Masking

Invisible watermarking has become a central tool for tracing AI-generated images, but its robustness against adaptive removal attacks remains an open security question. We introduce Latent Frequency Masking, an attack that erases watermark evidence by replacing selected Fourier coefficients in the latent representation...

Kirill Aistov, Khaled Abud, I. Serzhenko et al. · 0 citations
#artificial intelligence Preprint Sep 2026

WARP: A Unified Benchmark for Invisible Image Watermarking -- Robustness and Protection Against Attacks

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

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