Аннотация
The "Fawkes" procedure is discussed as a method of protection against unauthorized use andrecognition of facial images from social networks. As an example, the results of an experiment aregiven, confirming the fact of a low result of face image recognition within CNN, when the Fawkesprocedure is applied with the parameter mode = "high". Based on a comparative analysis with theoriginal images of faces, textural changes and graphical features of the structural destruction of imagessubjected to the Fawkes procedure are shown. In addition to this analysis, multilevel parametricestimates of these destructions are given and, on their basis, the reason for the impossibility ofrecognizing images of faces subjected to the Fawkes procedure, as well as their use in deep learningproblems, is explained. The structural similarity index (ISSIM) and phase correlation of images areused as quantitative assessment tools. It is also noted that facial images subjected to the Fawkesprocedure are well recognized outside of deep learning methods. For this purpose, models of twosimple systems for recognizing face images subjected to the Fawkes procedure are proposed, and theresults of the experiments performed are presented. It is argued that the use of simple face imagerecognition systems in a computer complex with CNN will make it possible to train such complexesand destroy the myth about the possibility of protecting face images. In conclusion, the question isposed as to whether it is possible to protect your face from recognition.