mlsanityData to 14 Oct 2026

Watermark Overwriting Attack on StegaStamp algorithm

arXiv 2505.01474 ↗First posted 2 May 2025cs.CR cs.AIcited by 2

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Abstract (arXiv)

This paper presents an attack method on the StegaStamp watermarking algorithm that completely removes watermarks from an image with minimal quality loss, developed as part of the NeurIPS "Erasing the invisible" competition.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 0 of its 2 references that are in the map. First posted on arXiv 2 May 2025.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Watermarks Attack Watermarks: Re-Watermarking as a Generic Removal Strategycited by 0
  2. 2026WARP: A Unified Benchmark for Invisible Image Watermarking -- Robustness and Protection Against Attackscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?
  2. 2021CropDefender: deep watermark which is more convenient to train and more robust against cropping
  3. 2026MarkSweep: A No-box Removal Attack on AI-Generated Image Watermarking via Noise Intensification and Frequency-aware Denoising
  4. 2025Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems
  5. 2023Leveraging Optimization for Adaptive Attacks on Image Watermarks
  6. 2024Invisible Watermarks: Attacks and Robustness
  7. 2024DLOVE: A new Security Evaluation Tool for Deep Learning Based Watermarking Techniques
  8. 2025First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge