Secure Steganographic Methods for Palette Images
IH '99 Proceedings of the Third International Workshop on Information Hiding
Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)
Statistically undetectable jpeg steganography: dead ends challenges, and opportunities
Proceedings of the 9th workshop on Multimedia & security
The ultimate steganalysis benchmark?
Proceedings of the 9th workshop on Multimedia & security
The square root law of steganographic capacity
Proceedings of the 10th ACM workshop on Multimedia and security
Less detectable JPEG steganography method based on heuristic optimization and BCH syndrome coding
Proceedings of the 11th ACM workshop on Multimedia and security
Fisher Information Determines Capacity of ε-Secure Steganography
Information Hiding
Estimating Steganographic Fisher Information in Real Images
Information Hiding
Modified matrix encoding technique for minimal distortion steganography
IH'06 Proceedings of the 8th international conference on Information hiding
A fusion of maximum likelihood and structural steganalysis
IH'07 Proceedings of the 9th international conference on Information hiding
Steganalysis by subtractive pixel adjacency matrix
IEEE Transactions on Information Forensics and Security
Advanced Statistical Steganalysis
Advanced Statistical Steganalysis
Gibbs construction in steganography
IEEE Transactions on Information Forensics and Security
The square root law in stegosystems with imperfect information
IH'10 Proceedings of the 12th international conference on Information hiding
Using high-dimensional image models to perform highly undetectable steganography
IH'10 Proceedings of the 12th international conference on Information hiding
On dangers of overtraining steganography to incomplete cover model
Proceedings of the thirteenth ACM multimedia workshop on Multimedia and security
IEEE Transactions on Signal Processing - Part II
Minimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes
IEEE Transactions on Information Forensics and Security - Part 2
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Currently, the most secure practical steganographic schemes for empirical cover sources embed their payload while minimizing a distortion function designed to capture statistical detectability. Since there exists a general framework for this embedding paradigm with established payload-distortion bounds as well as near-optimal practical coding schemes, building an embedding scheme has been essentially reduced to the distortion design. This is not an easy task as relating distortion to statistical detectability is a hard and open problem. In this article, we propose an innovative idea to measure the embedding distortion in one fixed domain independently of the domain where the embedding changes (and coding) are carried out. The proposed universal distortion is additive and evaluates the cost of changing an image element (e.g., pixel or DCT coefficient) from directional residuals obtained using a Daubechies wavelet filter bank. The intuition is to limit the embedding changes only to those parts of the cover that are difficult to model in multiple directions while avoiding smooth regions and clean edges. The utility of the universal distortion is demonstrated by constructing steganographic schemes in the spatial, JPEG, and side-informed JPEG domains, and comparing their security to current state-of-the-art methods using classifiers trained with rich media models.