Dataset, Noise Analysis, and Automated Parameter Estimation for Natural Steganography-Reference-Cited by-同舟云学术

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Dataset, Noise Analysis, and Automated Parameter Estimation for Natural Steganography

Published:2024-06-24 Issue: Volume: Page:13-18
ISSN:
Container-title:Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security
language:
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Author:

Woo Ivy K. Y.¹^ORCID,Yiu Sheung²^ORCID,Yin Hoover H. F.³^ORCID,Lai Russell W. F.⁴^ORCID

Affiliation:

1. Department of Mathematics and System Analysis, Aalto University, Espoo, Finland

2. Department of Art and Media, Aalto University, Espoo, Finland

3. Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong

4. Department of Computer Science, Aalto University, Espoo, Finland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3658664.3659660

Reference16 articles.

1. An embedding mechanism for natural steganography after down-sampling

2. Patrick Bas. 2016. Natural steganography: cover-source switching for better steganography. arXiv preprint arXiv:1607.07824.

3. Steganography via cover-source switching

4. Christian Cachin. 1998. An information-theoretic model for steganography. In Information Hiding. David Aucsmith, (Ed.) Springer Berlin Heidelberg, Berlin, Heidelberg, 306--318. isbn: 978--3--540--49380--8.

5. Robust Locally Weighted Regression and Smoothing Scatterplots

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