Detecting hidden messages using higher-order statistical models

By Hany Farid. Proceedings. International Conference on Image Processing, 2002

318 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/1216fa56fa6cd97f3dccc64d7cdf55e6382b61af

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Jessica J. Fridrich
2. Siwei Lyu
3. Hany Farid
4. Y. Shi
5. Chunhua Chen
6. Wen Chen
7. Luisa Verdoliva
8. Tomás Pevný

Citations in the corpus

• A Markov Process Based Approach to Effective Attacking JPEG Steganography (2006, methodology): “Designed specifically for detecting JPEG steganography, this scheme performs better than [5, 6] in attacking JPEG steganography [1, 2, 3].”
• Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines (2002, methodology): “Also shown in this table are results from classification employing a Fisher linear discriminant analysis used in our earlier work [6].”
• Steganalysis using higher-order image statistics (2006, background): “Given the ever growing number of steganography tools, universal approaches are clearly necessary in order to perform any type of generic, large-scale steganalysis.”