Teterev, N., Trifonov, V., & Levina, A. (2024). Analysis of the vulnerability of YOLO neural network models to the Fast Sign Gradient Method attack. Nauchno-tekhnicheskiĭ vestnik informat͡s︡ionnykh tekhnologiĭ, mekhaniki i optiki, 24(6), 1066-1070. https://doi.org/10.17586/2226-1494-2024-24-6-1066-1070
Chicago-Zitierstil (17. Ausg.)Teterev, N.V, V.E Trifonov, und A.B Levina. "Analysis of the Vulnerability of YOLO Neural Network Models to the Fast Sign Gradient Method Attack." Nauchno-tekhnicheskiĭ Vestnik Informat͡s︡ionnykh Tekhnologiĭ, Mekhaniki I Optiki 24, no. 6 (2024): 1066-1070. https://doi.org/10.17586/2226-1494-2024-24-6-1066-1070.
MLA-Zitierstil (9. Ausg.)Teterev, N.V, et al. "Analysis of the Vulnerability of YOLO Neural Network Models to the Fast Sign Gradient Method Attack." Nauchno-tekhnicheskiĭ Vestnik Informat͡s︡ionnykh Tekhnologiĭ, Mekhaniki I Optiki, vol. 24, no. 6, 2024, pp. 1066-1070, https://doi.org/10.17586/2226-1494-2024-24-6-1066-1070.