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Large-scale JPEG steganalysis using hybrid deep-learning framework., , , and . CoRR, (2016)Large-Scale JPEG Image Steganalysis Using Hybrid Deep-Learning Framework., , , and . IEEE Trans. Inf. Forensics Secur., 13 (5): 1200-1214 (2018)Ensemble Deep Learning Features for Real-World Image Steganalysis., , , , and . KSII Trans. Internet Inf. Syst., 14 (11): 4557-4572 (2020)WISERNet: Wider Separate-Then-Reunion Network for Steganalysis of Color Images., , , , and . IEEE Trans. Inf. Forensics Secur., 14 (10): 2735-2748 (2019)Non-structured Pruning for Deep-learning based Steganalytic Frameworks., , , , and . APSIPA, page 1735-1739. IEEE, (2019)Hybrid deep-learning framework for object-based forgery detection in video., , , , and . Signal Process. Image Commun., (2022)Pre-training via fitting deep neural network to rich-model features extraction procedure and its effect on deep learning for steganalysis., , , and . Media Watermarking, Security, and Forensics, page 44-49. Society for Imaging Science and Technology, (2017)A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost., , , and . IEEE Access, (2019)WISERNet: Wider Separate-then-reunion Network for Steganalysis of Color Images., , , , and . CoRR, (2018)ICDAR 2023 Competition on Detecting Tampered Text in Images., , , , , , , , , and 1 other author(s). ICDAR (2), volume 14188 of Lecture Notes in Computer Science, page 587-600. Springer, (2023)