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Copy file name to clipboardExpand all lines: _editions/2025/tasks/synthim.md
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[7] Bammey, Q. (2024). Synthbuster: Towards Detection of Diffusion Model Generated Images. IEEE Open Journal of Signal Processing, 5, 1-9.
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[8] Guillaro, F., Zingarini, G., Usman, B., Sud, A., Cozzolino, D., & Verdoliva, L. (2025). A bias-free training paradigm for more general ai-generated image detection. In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR).
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[9] Guillaro, F., Cozzolino, D., Sud, A., Dufour, N., & Verdoliva, L. (2023). Trufor: Leveraging all-round clues for trustworthy image forgery detection and localization. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR).
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[10] Corvi, R., Cozzolino, D., Zingarini, G., Poggi, G., Nagano, K., & Verdoliva, L. (2023, June). On the detection of synthetic images generated by diffusion models. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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