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A new steganalysis paradigm based on image retrieval of similar image-inherent statistical properties and outlier detection.

, , , and . WCSP, page 1-5. IEEE, (2015)

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New framework for unsupervised universal steganalysis via SRISP-aided outlier detection., , and . Signal Process. Image Commun., (2016)Resampling detection aided steganalysis of heterogeneous bitmap images., , , , and . J. Electronic Imaging, 22 (1): 013037 (2013)A new steganalysis paradigm based on image retrieval of similar image-inherent statistical properties and outlier detection., , , and . WCSP, page 1-5. IEEE, (2015)Novel DCT Features for Detecting Spatial Embedding Algorithms., , , and . ICIG (2), volume 9218 of Lecture Notes in Computer Science, page 565-571. Springer, (2015)Unsupervised universal steganalyzer for high-dimensional steganalytic features., and . J. Electronic Imaging, 25 (6): 63016 (2016)Image resampling detection based on texture classification., , , , and . Multimedia Tools Appl., 72 (2): 1681-1708 (2014)New Blind Steganalysis Framework Combining Image Retrieval and Outlier Detection., , , and . TIIS, 10 (12): 5643-5656 (2016)Steganalysis of AE-LSB steganography based on pixel value differencing., , , , and . ICNC, page 1449-1453. IEEE, (2013)Combating highly imbalanced steganalysis with small training samples using feature selection, ., , , and . J. Vis. Commun. Image Represent., (2017)A novel steganalysis framework of heterogeneous images based on GMM clustering., , , , and . Signal Process. Image Commun., 29 (3): 385-399 (2014)