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English Information

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Authors
# Name
1 Julia Granja(julia.campanelli@estudante.ufscar.br)
2 Marcela Ribeiro(marcelaxr@ufscar.br)

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Reference
# Reference
1 Ankolekar, A., Madappa, R., and Savakis, A. E. (2022). Can simpler be better? review of methods for the detection of gan-generated imagery. In Defense + Commercial Sensing.
2 Arora, T. and Soni, R. (2021). A review of techniques to detect the gan-generated fake images. In Generative Adversarial Networks for Image-to-Image Translation, pages 125–159. Elsevier.
3 Chauhan, R., Popli, R., and Kansal, I. (2023). A systematic review on fake image creation techniques. In 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom), pages 779–783. IEEE.
4 CIPLAb (2020). Real and fake face detection. https://www.kaggle.com/datasets/ciplab/real-and-fake-face-detection. Acesso em jul.2025.
5 Guarnera, L., Giudice, O., and Battiato, S. (2022). The face deepfake detection challenge. Journal of Imaging, 8(10):263.
6 Gupta, A. (2021). Human faces. https://www.kaggle.com/datasets/ashwingupta3012/human-faces. Acesso em jul.2025.
7 Heidari, A., Jafari Navimipour, N., Dag, H., and Unal, M. (2024). Deepfake detection using deep learning methods: A systematic and comprehensive review. WIREs Data Mining and Knowledge Discovery, 14(2):e1520.
8 Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., and Aila, T. (2020). Analyzing and improving the quality of gans for image synthesis. Advances in Neural Information Processing Systems (NeurIPS), 33:8107–8118.
9 Khoo, B., Phan, R. C.-W., and Lim, C.-H. (2022). Deepfake attribution: On the source identification of artificially generated images. WIREs Data Mining and Knowledge Discovery, 12(3):e1438.
10 Malik, A., Usama, M., Ali, M., and Razzak, I. (2022). Deepfake detection for human face images and videos: A survey. IEEE Access, 10:18757–18775.
11 Perov, I., Gao, D., Chervoniy, N., Liu, K., Marangonda, S., Umé, C., Dpfks, M., Facenheim, C. S., RP, L., Jiang, J., et al. (2020). Deepfacelab: Integrated, flexible and extensible face-swapping framework. arXiv preprint arXiv:2005.05535.
12 TAVARES, C. D. M. (2024). Inteligência artificial e deepfakes: Desafios jurı́dicos e tecnológicos para a integridade do processo democrático. Revista Justiça Eleitoral em Debate, 14(1).