Contemporary pornography: deepfake as a form of abuse
DOI:
https://doi.org/10.31637/epsir-2024-370Keywords:
women, abuse, pornography, NCII, education, AI, deepfake, nudifierAbstract
Introduction: The non-consensual creation of intimate images through deepfake is on the rise. Nudifiers, new AI tools that realise nudification of uploaded images, are a new method of content production that can be used for abuse. Methodology: Through empirical and qualitative analysis, we examined the use and outcome of these applications. Results: Respondents showed difficulties in recognising real images from nudified ones and rare forms of deterrence in the misuse of these tools. Discussion: The use of nudifiers poses serious ethical and legal problems, highlighting the need for more effective deterrence measures. Conclusion: It is crucial to develop tools and laws to counter the misuse of nudifiers and protect the privacy of those involved.
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Almars, A. M. (2021). Deepfakes detection techniques using deep learning: a survey. Journal of Computer and Communications, 9(05), 20-35. https://doi.org/10.4236/jcc.2021.95003
Brighi, A., Amadori, A., Summerer, K., & Menin, D. (2023). Prevalence and risk factors for nonconsensual distribution of intimate images among Italian young adults: Implications for prevention and intervention. International Journal of Clinical and Health Psychology, 23(4). https://doi.org/10.1016/j.ijchp.2023.100414
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., & Bengio, Y. (2014). Generative adversarial nets. Advances in Neural Information Processing Systems, 27. https://doi.org/10.48550/arXiv.1406.2661
Home Security Heroes (2023). 2023 State of deepfakes. Realities, threats and impact. https://www.homesecurityheroes.com/state-of-deepfakes/
Koltai, K. (23 febbraio 2024). Behind a Secretive Global Network of Non-Consensual Deepfake Pornography. https://bit.ly/4bx2fTj
Papachristou, K. (2023). Revenge porn helpline. 2023 Report.
Parshall, A. (2023). How This AI Image Won a Major Photography Competition. https://bit.ly/3RSFZwh
Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433-460. https://doi.org/10.1093/mind/LIX.236.433
Wang, T. C., Liu, M. Y., Zhu, J. Y., Tao, A., Kautz, J., & Catanzaro, B. (2018). High-resolution image synthesis and semantic manipulation with conditional gans. En Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 8798-8807). https://doi.org/10.1109/CVPR.2018.00917
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Copyright (c) 2024 Lorenzo Di Silvestro, Cristina Iurissevich
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