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Natural Steganography in JPEG Domain With a Linear Development Pipeline

  • Published:2021 Issue: Volume:16 Page:173-186
  • ISSN:1556-6013
  • Container-title:IEEE Transactions on Information Forensics and Security
  • language:
  • Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Taburet TheoORCID,Bas PatrickORCID,Sawaya Wadih,Fridrich Jessica

Funder

HPC Resources of IDRIS under the allocation 2020 made by GENCI

HPC Resources of University of Lille

French National Research Agency

ALASKA Project

French ANR DEFALS Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Cited by 21 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. Efficient JPEG image steganography using pairwise conditional random field model;Signal Processing;2024-08

2. Statistical Correlation as a Forensic Feature to Mitigate the Cover-Source Mismatch;Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security;2024-06-24

3. Linking Intrinsic Difficulty and Regret to Properties of Multivariate Gaussians in Image Steganalysis;Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security;2024-06-24

4. Dataset, Noise Analysis, and Automated Parameter Estimation for Natural Steganography;Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security;2024-06-24

5. Dual-domain joint optimization for universal JPEG steganography;Journal of Visual Communication and Image Representation;2024-05
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