BOSC: A Backdoor-Based Framework for Open Set Synthetic Image Attribution

With the continuous progress of AI technology, new generative architectures continuously appear, thus driving the attention of researchers towards the development of synthetic image attribution methods capable of working in open-set scenarios. Existing approaches focus on extracting highly discrimin...

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Veröffentlicht in:	IEEE transactions on information forensics and security Jg. 20; S. 8043 - 8058
Hauptverfasser:	Wang, Jun, Tondi, Benedetta, Barni, Mauro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Analytical models Autoencoders backdoor injection Computer architecture deep learning for multimedia forensics Facial features Feature extraction Image forensics Image recognition open set recognition Prototypes Robustness Synthetic image attribution Training
ISSN:	1556-6013, 1556-6021
Online-Zugang:	Volltext
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