@inproceedings{f36d5fc423be4aaa9c05cce54bc2d83b,
title = "Security and forensics exploration of learning-based image coding",
abstract = "Advances in media compression indicate significant potential to drive future media coding standards, e.g., Joint Photographic Experts Group's learning-based image coding technologies (JPEG AI) and Joint Video Experts Team's (JVET) deep neural networks (DNN) based video coding. These codecs in fact represent a new type of media format. As a dire consequence, traditional media security and forensic techniques will no longer be of use. This paper proposes an initial study on the effectiveness of traditional watermarking on two state-of-the-art learning based image coding. Results indicate that traditional watermarking methods are no longer effective. We also examine the forensic trails of various DNN architectures in the learning based codecs by proposing a residual noise based source identification algorithm that achieved 79% accuracy.",
keywords = "deep learning, video coding, image coding, codecs, visual communication, forensics, transform coding",
author = "Deepayan Bhowmik and Mohamed Elawady and Keiller Nogueira",
note = "{\textcopyright} 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2021 International Conference on Visual Communications and Image Processing (VCIP), VCIP 2-21 ; Conference date: 05-12-2021 Through 08-12-2021",
year = "2022",
month = jan,
day = "19",
doi = "10.1109/VCIP53242.2021.9675445",
language = "English",
isbn = "9781728173221",
series = "IEEE International Conference on Visual Communications and Image Processing (VCIP)",
publisher = "IEEE",
pages = "1--5",
booktitle = "2021 International Conference on Visual Communications and Image Processing (VCIP)",
}