“DEEPFAKE” - SOXTA NATIJALAR YARATISH UCHUN SUN’IY INTELLEKT VA BOSHQA ZAMONAVIY TEXNOLOGIYALARDAN FOYDALANISH
pdf

Ключевые слова

Deepfake, Sun’iy intellekt, Generative Adversarial Networks (GAN), Soxta kontent, Axborot xavfsizligi, Ijtimoiy manipulyatsiya, Axloqiy masalalar, Ovoz va video modifikatsiyasi, Deepfake aniqlash texnologiyalari.

Аннотация

Ushbu maqola Deepfake texnologiyasi va uning ishlash mexanizmini batafsil ko‘rib chiqadi. Deepfake – bu Generative Adversarial Networks (GAN) asosida ishlaydigan zamonaviy sun’iy intellekt yutug‘idir. Ushbu texnologiya inson ovozi, yuzi va harakatlarini soxtalashtirib, haqiqatga juda yaqin virtual materiallar yaratish imkonini beradi. Maqolada Deepfake texnologiyasining ijtimoiy, ilmiy va axloqiy jihatlari, shuningdek, uning imkoniyatlari va xavflari keng yoritilgan.

pdf

Библиографические ссылки

Goodfellow I., Bengio Y., Courville A. (2016). Deep Learning. MIT Press.

Krizhevsky A., Sutskever I., Hinton G. E. (2012). ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems (NIPS).

Redmon J., Divvala S., Girshick R., Farhadi A. (2016). You Only Look Once: Unified, Real-Time Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

He K., Zhang X., Ren S., Sun J. (2016). Deep Residual Learning for Image Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deng J., Dong W., Socher R., Li L.-J., Li K., Fei-Fei L. (2009). ImageNet: A Large-Scale Hierarchical Image Database. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Zeiler M. D., Fergus R. (2014). Visualizing and Understanding Convolutional Networks. European Conference on Computer Vision (ECCV).

Ren S., He K., Girshick R., Sun J. (2015). Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

LeCun Y., Bengio Y., Hinton G. (2015). Deep Learning. Nature, 521(7553), 436–444.

Russakovsky O., Deng J., Su H., et al. (2015). ImageNet Large Scale Visual Recognition Challenge. International Journal of Computer Vision (IJCV), 115(3), 211-252.

Huang G., Liu Z., Van Der Maaten L., Weinberger K. Q. (2017). Densely Connected Convolutional Networks (DenseNet). IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Филин С. А. «Информационная безопасность», М.: Альфа – Пресс, 2006 г.