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Quantitative steganalysis of JPEG additive steganography based on boundary effect., , , and . J. Electronic Imaging, 27 (2): 023004 (2018)Gated Neural Network with Regularized Loss for Multi-label Text Classification., , , , and . IJCNN, page 1-8. IEEE, (2019)Steganalysis Feature Subspace Selection Based on Fisher Criterion., , , , , and . DSAA, page 514-521. IEEE, (2017)Blind forensics of image gamma transformation and its application in splicing detection., , , and . J. Vis. Commun. Image Represent., (2018)Modification ratio estimation for a category of adaptive steganography., , , and . Sci. China Inf. Sci., 53 (12): 2472-2484 (2010)DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets., , , , , and . WWW, page 3391-3397. ACM, (2019)Steganalysis of homogeneous-representation based steganography for high dynamic range images., , , , , and . Multim. Tools Appl., 79 (27-28): 20079-20105 (2020)Software Watermarking Through Obfuscated Interpretation: Implementation and Analysis., , , and . J. Multim., 6 (4): 329-340 (2011)A Survey on Breaking Technique of Text-Based CAPTCHA., , , , and . Secur. Commun. Networks, (2017)Fusion of Two Typical Quantitative Steganalysis Based on SVR., , , and . J. Softw., 8 (3): 731-736 (2013)