The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
”Break Our Steganographic System”: The Ins and Outs of Organizing BOSS
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
Some distance properties of latent root and vector methods used in multivariate analysis
GOWER, J. C. (1966) · Biometrika · doi:10.1093/biomet/53.3-4.325 · Cited by 4,293
Using High-Dimensional Image Models to Perform Highly Undetectable Steganography
Pevný, T., Filler, T., & Bas, P. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-16435-4_13 · Cited by 1,009
Self-citationMinimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes
Filler, T., Judas, J., & Fridrich, J. (2011) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2011.2134094 · Cited by 966
Self-citationSteganalysis by subtractive pixel adjacency matrix
Pevný, T., Bas, P., & Fridrich, J. (2009) · Proceedings of the 11th ACM workshop on Multimedia and security · doi:10.1145/1597817.1597831 · Cited by 769
Self-citationGibbs Construction in Steganography
Filler, T., & Fridrich, J. (2010) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2010.2077629 · Cited by 302
Self-citationSteganalysis of Content-Adaptive Steganography in Spatial Domain
Fridrich, J., Kodovský, J., Holub, V., & Goljan, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24178-9_8 · Cited by 102
Modern steganalysis can detect YASS
Kodovský, J., Pevný, T., & Fridrich, J. (2010) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.838768 · Cited by 89
Self-citationBreaking HUGO – The Process Discovery
Fridrich, J., Kodovský, J., Holub, V., & Goljan, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24178-9_7 · Cited by 68
A New Methodology in Steganalysis: Breaking Highly Undetectable Steganograpy (HUGO)
Gül, G., & Kurugöllü, F. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24178-9_6 · Cited by 66
On completeness of feature spaces in blind steganalysis
Kodovský, J., & Fridrich, J. (2008) · ACM workshop on Multimedia and security · doi:10.1145/1411328.1411352 · Cited by 41
Cited by
Content-Adaptive Steganography by Minimizing Statistical Detectability
Sedighi, V., Cogranne, R., & Fridrich, J. (2016) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2486744 · Cited by 573
Deep residual learning for image steganalysis
Wu, S., Zhong, S., & Liu, Y. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4440-4 · Cited by 442
Median Filtering Forensics Based on Convolutional Neural Networks
Chen, J., Kang, X., Liu, Y., & Wang, Z. J. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2015.2438008 · Cited by 425
Zhang, R., Zhu, F., Liu, J., & Liu, G. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2019.2936913 · Cited by 420
Selection-channel-aware rich model for Steganalysis of digital images
Denemark, T., Sedighi, V., Holub, V., Cogranne, R., & Fridrich, J. (2014) · 2014 IEEE International Workshop on Information Forensics and Security (WIFS) · doi:10.1109/wifs.2014.7084302 · Cited by 375
Metadata
- Authors
- Bas, P., Filler, T., & Pevný, T.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 59-70
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W22271197
- Cited by
- 1,250
- References
- 10
- FWCI
- 24.63
- Type
- conference paper
- 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: ”Break Our Steganographic System”: The Ins and Outs of Organizing BOSS. https://app.cochat.ai/papers/10.1007/978-3-642-24178-9_5
- The paper
- Bas, P., Filler, T., & Pevný, T. (2011). ”Break Our Steganographic System”: The Ins and Outs of Organizing BOSS. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-24178-9_5
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.