Towards robust steganalysis: binary classifiers and large, heterogeneous data
<p>The security of a steganography system is defined by our ability to detect it. It is of no surprise then that steganography and steganalysis both depend heavily on the accuracy and robustness of our detectors. This is especially true when real-world data is considered, due to its heterogene...
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| Format: | Thesis |
| Language: | English |
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2013
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