arXiv (All)
open access
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 l
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Exploring Weaknesses of Generative Image Watermarks against Latent Frequency Masking#1161081
- Removing the Watermark Is Not Enough: Forensic Stealth in Generative-AI Watermark Removal#684447
- Removing the Watermark Is Not Enough: Forensic Stealth in Generative-AI Watermark Removal#682672
- On the Information-Theoretic Limits of Latent-Space Watermarking Through Pretrained Generators#1050556
- Advances in Intelligent Information Hiding and Multimedia Signal Processing : Proceeding of the 21st IIHMSP 2025 in Conjunction with the 5th SSIM 2025, October 15-17, 2025, Taichung City, Taiwan, Volume 1 / edited by Shu-Chuan Chu, Tzu-Chuen Lu, Jeng-Shyang Pan, George A. Tsihrintzis, Tien-Wen Sung#1165586
Record · ID 1157358
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive