Image Domain Distinct Native Attribute Fingerprinting for Image Forgery Classification
Document Type
Conference Proceeding
Publication Date
1-7-2025
Abstract
Image forgery is becoming more difficult to detect due to advances in AI image generation. As such, the usefulness — and even requirement — for detection techniques that are affordable (computationally and monetarily) as well as intuitive and simple are equally increasing. This work demonstrates the first adoption of Distinct Native Attribute (DNA) Fingerprinting to image and forgery detection to achieve similar results while mitigating the cost of implementation. General image classification results with accuracy of %C = 98.8% support the overall utility while the ability to detect within-category image forgeries produce an average of %C = 81.8%. Using an intuitive and small set of features, preliminary results show an approximate average classification accuracy difference of only %CΔ = −9% from more complex solutions. This work demonstrates the ability to adopt DNA Fingerprinting for image classification, and image forgery using Image Domain DNA (ID-DNA) that is holistically less resource intensive while requiring less time, money, and expert knowledge.
Source Publication
58th Hawaii International Conference on System Sciences, HICSS 2025
Recommended Citation
Mcquagge, J., Rondeau, C., & Temple, M. (2025). Image Domain Distinct Native Attribute Fingerprinting for Image Forgery Classification. Proceedings of the Annual Hawaii International Conference on System Sciences, 7112–7121. https://hdl.handle.net/10125/109701
Comments
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This is an Open Access conference paper is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. CC BY-NC-ND 4.0
This paper was presented in the HICSS 2025 Conference Minitrack on Cyber Operations, Defense, and Forensics