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Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2995070
Abstract: Steganalysis in real-world application often exhibit skewed sample distribution which poses a massive challenge for steganography detection. Conventional steganalysis algorithms are not effective when the training data distribution is imbalanced, and may fail in the…
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Keywords:
cost sensitive;
steganalysis;
adaptive cost;
sensitive feature ... See more keywords