loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Christian Kraetzer and Mario Hildebrandt

Affiliation: Dept. of Computer Science, Otto-von-Guericke University Magdeburg, Germany

Keyword(s): Media Forensics, Explainability and Interpretability, Machine Learning, Artificial Intelligence, Quality Assurance and Proficiency Testing in Forensics.

Abstract: For the explainability and interpretability of the outcomes of all forensic investigations, including those in media forensics, the quality assurance and proficiency testing work performed needs to ensure not only the necessary technical competencies of the individual practitioners involved in an examination. It also needs to enable the investigators to have sufficient understanding of machine learning (ML) or ‘artificial intelligence’ (AI) systems used and are able to ascertain and demonstrate the validity and integrity of evidence in the context of criminal investigations. In this paper, it is illustrated on the example of applying the multi-class steganalysis tool Stegdetect to find steganographic messages hidden in digital images, why the explainability and interpretability of the outcomes of media forensic investigations are a challenge to researchers and forensic practitioners.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.114.94

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kraetzer, C. and Hildebrandt, M. (2024). Explainability and Interpretability for Media Forensic Methods: Illustrated on the Example of the Steganalysis Tool Stegdetect. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 585-592. DOI: 10.5220/0012423800003660

@conference{visapp24,
author={Christian Kraetzer. and Mario Hildebrandt.},
title={Explainability and Interpretability for Media Forensic Methods: Illustrated on the Example of the Steganalysis Tool Stegdetect},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={585-592},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012423800003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Explainability and Interpretability for Media Forensic Methods: Illustrated on the Example of the Steganalysis Tool Stegdetect
SN - 978-989-758-679-8
IS - 2184-4321
AU - Kraetzer, C.
AU - Hildebrandt, M.
PY - 2024
SP - 585
EP - 592
DO - 10.5220/0012423800003660
PB - SciTePress