Steganography by Minimizing Statistical Detectability: The cases of JPEG and Color Images

Author:

Cogranne Rémi1,Giboulot Quentin1,Bas Patrick2

Affiliation:

1. LM2S Lab. - ROSAS Dept., Troyes University of Technology, Troyes, France

2. CRIStAL Lab, CNRS, Ecole Centralle de Lille, Univ. of Lille, Lille, France

Funder

Agence Nationale de la Recherche

Publisher

ACM

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Image steganography approaches and their detection strategies: a survey;ACM Computing Surveys;2024-09-10

2. DCANet: CNN model with dual-path network and improved coordinate attention for JPEG steganalysis;Multimedia Systems;2024-08

3. Single-image steganalysis in real-world scenarios based on classifier inconsistency detection;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

4. Are Deepfakes a Game-changer in Digital Images Steganography Leveraging the Cover-Source-Mismatch?;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

5. Errorless robust JPEG steganography using steganographic polar codes;EURASIP Journal on Information Security;2024-07-04

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