The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Counterfeiting attacks on oblivious block-wise independent invisible watermarking schemes
Abstract
In this paper, we describe a class of attacks on certain block-based oblivious watermarking schemes. We show that oblivious watermarking techniques that embed information into a host image in a block-wise independent fashion are vulnerable to a counterfeiting attack. Specifically, given a watermarked image, one can forge the watermark it contains into another image without knowing the secret key used for watermark insertion and in some cases even without explicitly knowing the watermark. We demonstrate successful implementations of this attack on a few watermarking techniques that have been proposed in the literature. We also describe a possible solution to this problem of block-wise independence that makes our attack computationally intractable.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Secure spread spectrum watermarking for multimedia
Cox, I. J., Kilian, J., Leighton, F. T., & Shamoon, T. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.650120 · Cited by 5,299
Cited by
Secret and public key image watermarking schemes for image authentication and ownership verification
Wong, P. W., & Memon, N. (2001) · IEEE Transactions on Image Processing · doi:10.1109/83.951543 · Cited by 561
Self-citationData hiding in binary image for authentication and annotation
Wu, M., & Liu, B. (2004) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2004.830814 · Cited by 375
An Overview of Digital Watermarking in Image Forensics
Zhou, G., & Lv, D. (2011) · 2011 Fourth International Joint Conference on Computational Sciences and Optimization · doi:10.1109/cso.2011.85 · Cited by 47
Metadata
- Authors
- Holliman, M., & Memon, N.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2000-03
- Volume
- 9
- Issue
- 3
- Pages
- 432-441
- ISSN
- 1057-7149 (ISSN-L)
- OpenAlex
- W2164840593
- Cited by
- 431
- References
- 1
- FWCI
- 14.47
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Counterfeiting attacks on oblivious block-wise independent invisible watermarking schemes. https://app.cochat.ai/papers/10.1109/83.826780
- The paper
- Holliman, M., & Memon, N. (2000). Counterfeiting attacks on oblivious block-wise independent invisible watermarking schemes. IEEE Transactions on Image Processing. https://doi.org/10.1109/83.826780
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.