Did You Note My Palette? Unveiling Synthetic Images Through Color Statistics

Author:

Uhlenbrock Lea1ORCID,Cozzolino Davide2ORCID,Moussa Denise1ORCID,Verdoliva Luisa2ORCID,Riess Christian1ORCID

Affiliation:

1. Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany

2. Universita degli Studi di Napoli Federico II, Naples, Italy

Funder

Research and Training Group 2475 Cybercrime and Forensic Computing (grant number 393541319/GRK2475/2-2024)

Publisher

ACM

Reference43 articles.

1. Adobe. 2024. Firefly. https://www.adobe.com/sensei/generative-ai/firefly.html.

2. M.A. Amin, Y. Hu, H. She, J. Li, Y. Guan, and M.Z. Amin. 2023. Exposing Deepfake Frames through Spectral Analysis of Color Channels in Frequency Domain. In International Workshop on Biometrics and Forensics. IEEE, 1--6.

3. M. Barni, K. Kallas, E. Nowroozi, and B. Tondi. 2020. CNN Detection of GAN-Generated Face Images Based on Cross-Band Co-Occurrences Analysis. In IEEE International Workshop on Information Forensics and Security). IEEE, 1--6.

4. N. Bonettini, P. Bestagini, S. Milani, and S. Tubaro. 2021. On the Use of Benford's Law to Detect GAN-Generated Images. In International Conference on Pattern Recognition. IEEE, 5495--5502.

5. J. Bruna P. Sprechmann and Y. LeCun. 2016. Super-Resolution with Deep Convolutional Sufficient Statistics.

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